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ALLSTAT  July 2018

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Subject:

SIGNOFF

From:

"Walsham, James" <[log in to unmask]>

Reply-To:

Walsham, James

Date:

Fri, 6 Jul 2018 08:09:50 +0000

Content-Type:

text/plain

Parts/Attachments:

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text/plain (1 lines)

I am leaving PRA and this email will be void very soon 
 
 
James Walsham 
Senior Recruiter – Global Talent Acquisition 
 
DIRECT: +44 (0)1189 518382 • VNET: # 4018382 • MOBILE: +44 (0)7711 017974 
500 South Oak Way • Green Park • Reading • Berks • RG2 6AD • UK • prahs.com 
 
 
 
                                          
 
 
 
 
-----Original Message----- 
From: A UK-based worldwide e-mail broadcast system mailing list [mailto:[log in to unmask]] On Behalf Of allstat automatic digest system 
Sent: 06 July 2018 12:00 AM 
To: [log in to unmask] 
Subject: allstat Digest - 4 Jul 2018 to 5 Jul 2018 (#2018-171) 
 
There are 9 messages totaling 525 lines in this issue. 
 
Topics of the day: 
 
  1. CONFERENCE: European Meeting of Statisticians 22-6 July 2019 Palermo 
  2. MRC IMPACT Studentship - idiopathic pulmonary fibrosis DEADLINE: Friday 
     13th July 
  3. SEMINAR: Matt Wand (UTS, Australia) in Leeds 
  4. ABSTRACT SUBMISSION EXTENDED: Bayesian learning theory for complex data 
     modeling 
  5. JOB | StatsJobs - Quantitative Trader, Jane Street 
  6. PhD studentship in optimal surveillance design for parameter inference in 
     hidden-Markov epidemic models. 
  7. PhD Programme in Statistics and Data Science - University of Florence (2) 
  8. Reminder: Two Biostatistics posts in Newcastle 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
 
---------------------------------------------------------------------- 
 
Date:    Thu, 5 Jul 2018 10:15:23 +0200 
From:    "Wit, Ernst" <[log in to unmask]> 
Subject: CONFERENCE: European Meeting of Statisticians 22-6 July 2019 Palermo 
 
*EMS, 22-26 July 2019, Palermo, Italy* 
 
The European Meeting of Statisticians (EMS), sponsored by the European Regional Committee of the Bernoulli Society, is the main statistics and probability theory conference in Europe. EMS is a conference where statisticians of all ages and from all regions meet to exchange ideas and talk about the newest developments on the broad field of statistics and probability theory. The very first EMS meeting was held in Dublin in 1962, and the 32nd EMS will take place in Palermo, the capital of Sicily (Italy). 
 
*Keynote speakers:* 
 
   - Genevera Allen (Rice University, USA), 
   - Gilles Blanchard (Univesity of Potsdam, D), 
   - John Lafferty (Yale University, USA), 
   - Victor Panaretos (EPS Lausanne, CH), 
   - Judith Rousseau (Oxford University, UK), 
   - Aad Van Der Vaart (University of Leiden, NL) 
 
*Instructions for submission of abstracts:* Conference language is English. Applicants wishing to present original research should propose a topic contributed session, a contributed paper or a poster, addressing a full range of subjects in statistics and its many application fields. The submission will start on the 1st of October 2018 and will end on 15th of April 2019. For more information visit the 
web-site: 
                              https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ems2019.palermo.it&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=X2512au6%2F6iuw8FTXmI07yD9y71cERQZL%2BtIqWg64dc%3D&amp;reserved=0 
 
*Deadline for submitting abstracts:* 
Abstract submission open on the 1st of October 2018 and end on the 28th of April 2019. 
 
*Contact:* 
For any information, please contact [log in to unmask] 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 09:57:21 +0100 
From:    Qingning Wang <[log in to unmask]> 
Subject: MRC IMPACT Studentship - idiopathic pulmonary fibrosis DEADLINE: Friday 13th July 
 
MRC IMPACT studentship (3.5 years) 
 
*Sex-specific genetic architecture of Idiopathic Pulmonary Fibrosis* 
 
 
 
Supervisors: Prof Louise Wain (Leicester) & Prof Gisli Jenkins (Nottingham) 
 
Student will be based at the University of Leicester. 
 
 
 
Idiopathic Pulmonary Fibrosis (IPF) is a rare, chronic and progressive lung disease with poor prognosis and limited treatment options. Men are more likely to develop IPF; in 2012 16 males and 9 females for every 100,000 people received a first diagnosis of IPF. 
 
Previously published genome-wide association studies [1-6] have identified 
18 signals of genetic association with IPF with the most replicated associations being in or near the *MUC5B *and* DSP* genes. However, all of these studies analysed males and females together and sex-specific genetic determinants have not been investigated. 
 
The primary aim of this project will be to understand the genetic factors that drive this difference in order to further our understanding of the disease process to aid development of new therapeutic strategies. 
 
The student will be based at the University of Leicester within an internationally-recognised respiratory genetic epidemiology group and benefit from close collaborations with leading IPF clinicians and researchers from the UK and USA.  A broad training in genetic epidemiology will equip the student for a career in the fast-moving and opportunity-rich field of human disease genetics. Applicants should have a background in bioinformatics, epidemiology, statistics or genetics (or similar), with an aptitude for computing (prior programming experience advantageous but not 
essential) and a keen interest in how genetics affects human health and disease. 
 
 
 
Closing date: *Friday 13th July 2018 [NEW deadline]* 
 
Interviews: Friday 20th July (Birmingham) 
 
To apply, and for more details of the IMPACT scheme, visit: 
 
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.birmingham.ac.uk%2Fschools%2Fmds-graduate-school%2Fscholarships%2Fmrc-impact%2Fprogramme.aspx&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=l4KgPAh7xw7w0ZZoyvP%2BOQgnKpfm08uGua5j1HDCm3g%3D&amp;reserved=0 
 
 
 
Contact me ([log in to unmask]) for more information. 
 
 
 
 
 
References: 
 
1. Mushiroda et al (2008) J Med Genet 45(10):654-6 
 
2. Seibold et al (2011) N Engl J Med 364(16):1503-12 
 
3. Noth et al (2013) Lancet Respir Med 1(4):309-17 
 
4. Fingerlin et al (2013) Nat Genet 45(6):613-20 
 
5. Fingerlin et al (2016) BMC Genet 17(1):74 
 
6. Allen et al (2017) Lancet Resp Med. 5(11):869-880 
 
 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 10:21:18 +0100 
From:    Robert Aykroyd <[log in to unmask]> 
Subject: SEMINAR: Matt Wand (UTS, Australia) in Leeds 
 
Dear Allstat, 
 
I have the great pleasure of announcing a special seminar by Professor Matt Wand from University of Technology Sydney, Australia with details as below. Matt has a long and distinguished research career (many people will know his 1995 book on kernel smoothing with Chris Jones, for example).  Matt is in Leeds for a two-week research visit and will give a seminar based on his 2017 JASA paper -- link below. 
 
 
Date: Wednesday 25th July 2018 
Time: 11:00-12:00 
Venue: School of Mathematics, Level 8, Room MALL 1 
 
Matt Wand (University of Technology Sydney, Australia) 
 
Fast Approximate Inference for Arbitrarily Large Statistical Models via Message Passing 
  
We explain how the notion of message passing can be used to streamline the algebra and computer coding for fast approximate inference in large Bayesian statistical models. In particular, this approach is amenable to handling arbitrarily large models of particular types once a set of primitive operations is established. The approach is founded upon a message passing formulation of mean field variational Bayes that utilizes factor graph representations of statistical models. The notion of factor graph fragments is introduced and is shown to facilitate compartmentalization of the required algebra and coding. 
 
This seminar is based on Matt's 2017 JASA paper which can be downloaded from https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmatt-wand.utsacademics.info%2F&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=7N5HfWOAEOmluKSVZGQS%2BwKbcJcH7mtutbhNjqifaqk%3D&amp;reserved=0 
 
For further information see: 
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.uts.edu.au%2Fstaff%2Fmatt.wand&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=yFiZPfI724X7dBv4ujXJu5vHBEN%2BXeH1se1w5himMhs%3D&amp;reserved=0 (official webpage) 
https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmatt-wand.utsacademics.info%2F&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=7N5HfWOAEOmluKSVZGQS%2BwKbcJcH7mtutbhNjqifaqk%3D&amp;reserved=0 (personal webpage) 
 
 
All are welcome to attend the seminar. Although booking is not necessary if you email me to express your interest, then I will inform you of any changes. Also, please let me know if you would like to go with us for lunch after the seminar. 
 
Maps, directions etc can be found using the following link, or email me for a PDF map.  
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fphysicalsciences.leeds.ac.uk%2Finfo%2F6%2Fschool_of_mathematics%2F99%2Fcontact_us&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=VvbtmHk4GxeVGGZsiw3zUABKYvKwqUwX3uYjpZ5kL60%3D&amp;reserved=0 
 
 
Regards, 
Robert. 
 
Dr. Robert G Aykroyd 
Department of Statistics 
University of Leeds, UK 
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fphysicalsciences.leeds.ac.uk%2Fstaff%2F2%2Fdr-robert-g-aykroyd&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=0Nr4oz4aFv5FsNC6FwNANiIzMLvlwhw3rYMXDPW2bRM%3D&amp;reserved=0 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 16:43:54 +0200 
From:    Marta Crispino <[log in to unmask]> 
Subject: ABSTRACT SUBMISSION EXTENDED: Bayesian learning theory for complex data modeling 
 
**** Apologies for cross postings **** 
 
The workshop *Bayesian learning theory for complex data modeling *will be held in *Grenoble* on *6-7 September 2018*. 
 
Confirmed invited keynote speakers: 
 
   - Nicholas Chopin, ENSAE, France 
   - Arnoldo Frigessi, University of Oslo, Norway 
   - Antonio Lijoi, University Bocconi, Milan, Italy 
   - Sonia Petrone, University Bocconi, Milan, Italy 
 
Important Dates: 
 
   - July 15th, 2018: Abstract submission closes 
   - (by) July 31, 2018: Notification on abstract acceptance 
   - August 25, 2018: Registration (*FREE but COMPULSORY*) closes 
 
More details and to register: https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Fbigworkshop%2F&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896960652&amp;sdata=Xlf5pty%2FcHabBnHbescLHfO9SedspObk5Y1YWJd%2BKzc%3D&amp;reserved=0 
 
We look forward to seeing you in Grenoble. 
 
Best, 
 
Marta Crispino and Julyan Arbel 
[log in to unmask], [log in to unmask] 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 15:52:25 +0100 
From:    James Phillips <[log in to unmask]> 
Subject: JOB | StatsJobs - Quantitative Trader, Jane Street 
 
Quantitative Trader, Jane Street , London, UK 
 
Jane Street is a quantitative trading firm with a unique focus on technology, a scientific approach, and a deep understanding of markets to guide our business. Our entrepreneurial culture is driven by our talented team of traders and programmers. We are a global liquidity provider and market maker, operating around the clock and around the globe, employing over 700 people in our offices in New York, London and Hong Kong. 
 
The markets change rapidly, and we need to change faster still. Every day, we come to work with new problems to solve, new systems to build and new theories to test. We’re always looking for people to join us and help come up with that next great idea. Our trading is based on our own proprietary models and on busy days we engage in over a million trades. Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm. We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml developers in any industrial setting. 
 
Jane Street has an open, informal, intellectual and fun environment. You can wear a t-shirt and jeans to the office every day, the kitchen is stocked with complimentary food, there’s a gym and a games room onsite, and discussions are always lively. Teaching and learning are central activities at Jane Street through classes, mentoring and discussion. 
 
More Information  >>>>> https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbit.ly%2F2tXgCOT&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C1%7C636664285896970661&amp;sdata=%2FRSy4jYNmjBequ2QIKGAov%2FYDC%2BDJF0E9nO1HydSqzw%3D&amp;reserved=0 
 
View Similar Jobs >>>>> https://na01.safelinks.protection.outlook.com/?url=www.StatsJobs.com&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=Gce%2F05tdM2kkTbxBmViefP1xxWjPr%2FJ85r8of3%2BNVBU%3D&amp;reserved=0 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 15:06:40 +0000 
From:    "Jewell, Christopher" <[log in to unmask]> 
Subject: PhD studentship in optimal surveillance design for parameter inference in hidden-Markov epidemic models. 
 
We invite applications for a fully-funded PhD studentship jointly hosted by CHICAS and the Department of Mathematics and Statistics at Lancaster University.  
 
The project is on developing statistical methodology for designing disease surveillance programmes for dynamical infectious disease models, with the constraint that surveillance effort is independent of the disease transmission process. The project will run alongside an ongoing collaboration in Uganda and Malawi which seeks to understand the drivers of antimicrobial resistance in low-resouce settings. 
 
This project would particularly suit a student with a statistics and/or computer science background, with an interest in methodological development alongside an important substantive application. 
 
For further information, please contact Chris Jewell <[log in to unmask]>. 
 
Eligibility: The studentship is open to UK applicants only. 
Duration: Three years funding is provided. 
Start: October 2018. 
Application deadline: August 3rd 
Supervisors: Dr Chris Jewell (CHICAS), Prof Peter Neal (Maths and Stats). 
 
-- 
Chris Jewell, MRCVS 
Senior Lecturer in Epidemiology 
CHICAS 
Faculty of Health and Medicine 
Lancaster University 
Lancaster 
LA1 4YG 
UK 
Tel: +44 (0) 1524 595237 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 18:11:03 +0200 
From:    Chiara Bocci <[log in to unmask]> 
Subject: PhD Programme in Statistics and Data Science - University of Florence 
 
PhD Programme in Statistics and Data Science, University of Florence The PhD programme is a three-year multidisciplinary programme within a partnership comprising the University of Florence, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi", with an internationally renowned faculty and a worldwide network of partner institutions. Candidates can apply for one of the following curricula: - Data Science (contact person: Fabrizia Mealli, DISIA, Firenze, 
([log in to unmask]) - Statistics (contact person: Fabrizia Mealli, DISIA, Firenze, ([log in to unmask]) - Mathematics (contact person:  
Graziano Gentili, DIMAI, Firenze, ([log in to unmask]) - Computer Science (contact person: Maria Grazia Pinotti, DMI, Perugia, 
([log in to unmask]) Application deadline is on July 25th, 2018, at 12 am Italian time. Submission is open to applicants of any Country and age, holding a Master’s degree (second cycle) or equivalent. The application call, in Italian and English, can be found at the page:  
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.unifi.it%2Fp11361.html%23phd_call&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=d3pq%2B%2Bn9Abqzi0F7yRSIwFm8H3HoPQjNmPkYLqkotyg%3D&amp;reserved=0 For further information on the PhD programme: https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.disia.unifi.it%2Fvp-26-dottorato-di-ricerca.html&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=i6VvIIS%2BLD%2BFLQiiqKwScyGDH9rhXYSg3EzgenSovIU%3D&amp;reserved=0 
 
------------------------------------------------ 
Chiara Bocci, PhD Lecturer in Statistics 
*DiSIA*- Dipartimento di Statistica, Informatica, Applicazioni University of Florence Viale G.B. Morgagni 59 
50134 Firenze - IT 
 
Phone: +39.0552751588 Fax: +39.0552751525 ------------------------------------------------ 
 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 18:38:18 +0200 
From:    Chiara Bocci <[log in to unmask]> 
Subject: PhD Programme in Statistics and Data Science - University of Florence 
 
PhD Programme in Statistics and Data Science, University of Florence 
 
The PhD programme is a three-year multidisciplinary programme within a partnership comprising the University of Florence, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi", with an internationally renowned faculty and a worldwide network of partner institutions. 
 
Candidates can apply for one of the following curricula: 
- Data Science (contact person: Fabrizia Mealli, DISIA, Firenze, 
([log in to unmask]) 
- Statistics (contact person: Fabrizia Mealli, DISIA, Firenze, 
([log in to unmask]) 
- Mathematics (contact person: Graziano Gentili, DIMAI, Firenze, 
([log in to unmask]) 
- Computer Science (contact person: Maria Grazia Pinotti, DMI, Perugia, 
([log in to unmask]) 
 
Application deadline is on July 25th, 2018, at 12 am Italian time. 
 
Submission is open to applicants of any Country and age, holding a Master’s degree (second cycle) or equivalent. 
 
The application call, in Italian and English, can be found at the page:  
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.unifi.it%2Fp11361.html%23phd_call&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=d3pq%2B%2Bn9Abqzi0F7yRSIwFm8H3HoPQjNmPkYLqkotyg%3D&amp;reserved=0 
 
For further information on the PhD programme:  
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.disia.unifi.it%2Fvp-26-dottorato-di-ricerca.html&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=i6VvIIS%2BLD%2BFLQiiqKwScyGDH9rhXYSg3EzgenSovIU%3D&amp;reserved=0 
 
 
 
------------------------------------------------ 
Chiara Bocci, PhD 
Lecturer in Statistics 
 
DiSIA - Dipartimento di Statistica, Informatica, Applicazioni University of Florence Viale G.B. Morgagni 59 
50134 Firenze - IT 
 
Phone:  +39.0552751588 
Fax:    +39.0552751525 
------------------------------------------------ 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Thu, 5 Jul 2018 21:10:08 +0100 
From:    James Wason <[log in to unmask]> 
Subject: Reminder: Two Biostatistics posts in Newcastle 
 
Hello all, 
 
We currently have two jobs advertised at Newcastle University that are focused on developing and applying novel biostatistics methodology for clinical trials. One has a closing date of 8th July, and the other 14th July. 
 
 
Post 1: Newcastle University Research Fellowship in Biostatistics 
 
Salary: £39,992 - £47,722 per annum 
 
Closing Date: 14 July 2018 
 
Up to five years fixed term, with progression to open-ended senior academic position 
 
This post is aimed at an ambitious person who has been successful at a postdoctoral position and has their own research ideas that they'd like to develop. Candidates with an interest in methodology for better design and analysis of clinical trials are especially encouraged, but other areas of biostatistics are welcome. You will have the opportunity to work closely with the Biostatistics Research Group and Newcastle Clinical Trials Unit to implement your methodology in practice. More details at: 
 
https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvacancies.ncl.ac.uk%2FViewVacancyV2.aspx%3Fenc%3DmEgrBL4XQK0%2Bld8aNkwYmOykijL1SMIfhIRPQc2ULOOAlQd3pvILuoD%2FhPsysFzTEYOQpGGJ3hO%2FewreFtW8hYrawbRO0Y97dSTuK68mo%2FKeozm5PIY%2BBmLBA9DYR3fsz%2FCQjx298dgOcF8JWH06dldnQWwQPKNZzijvQtnFznZQrY8mP1O8YEZlP7X3A%2BtG&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=wnDeqmo97o6SkD8WbOeV0%2FJTn02e5IyUkucD5X%2FDD5o%3D&amp;reserved=0 
 
The start date for this position is flexible (ideally by late 2018) 
 
 
Post 2: Research Associate in Biostatistics 
 
Salary: £29,799 - £38,833 per annum 
 
Closing Date: 8 July 2018 
 
Three year fixed term 
 
This is a postdoctoral position to work with me on statistical methods for efficient design and analysis of clinical trials. As above, there are several novel trials we're involved with that will motivate and apply methods you develop!  
 
Start date is flexible, but ideally by Autumn 2018. 
 
More details: https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvacancies.ncl.ac.uk%2FViewVacancyV2.aspx%3Fenc%3DmEgrBL4XQK0%2Bld8aNkwYmJDqES%2BNDw7OVjZNC414GQcZq94QU1F%2FqHSUjDTQMl7nHsbxt7eeZVHzq3hu%2B8q8l15yAiDJrOcq6K%2B1W3OLY9%2FWKKCDe1dWSPCighPb7RstDHzbb3bDkIHrjQ5F9%2BPIrw&amp;data=02%7C01%7Cwalshamjames%40PRAHS.COM%7C0ba82e75edcb45fdf46508d5e2cb7855%7C1cef9a5962ec418a96662b3afc2d2cb0%7C0%7C0%7C636664285896970661&amp;sdata=0KIxyf0e7tQCLiEOTZ6BiUGM9kpz%2FuGGTBN5m0zklaE%3D&amp;reserved=0== 
 
I'm very happy to get any informal enquiries. 
 
Thanks, 
James 
 
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