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ALLSTAT  November 2010

ALLSTAT November 2010

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Subject:

JOB. PhD/Postdoc in Statistical Genomics, 22 Nov 2010

From:

Ernst Wit <[log in to unmask]>

Reply-To:

Ernst Wit <[log in to unmask]>

Date:

Tue, 9 Nov 2010 13:11:00 +0000

Content-Type:

multipart/mixed

Parts/Attachments:

Parts/Attachments

text/plain (36 lines) , abstract.txt (17 lines)

WHAT: 	PhD in Statistics (4 yr) / Postdoc in Statistics (3 yr)
TOPIC:	Network-based statistical inference for replicatively aging in yeast
SALARY:	Max salary PhD  € 2.673,- / Max salary Postdoc € 4.502,- gross per month
DEADLINE:	22 November, 2011 (23:59)
CONTACT:	Prof. Ernst Wit ([log in to unmask]) 


Applying for the job
Applications should be emailed as PDF to [log in to unmask] and consist of:
(1) a motivation letter, clearly stating how the prior expertise fits to the research project;
(2) an extensive CV;
(3) two reference letters.

Project description
This project is under supervision of Prof Ernst Wit in the Statistics and Probability group in the Johann Bernoulli Institute at the University of Groningen. The project involves close collaboration with Prof. Matthias Heinemann in Biology, who is an expert on replicative aging in yeast. This project will involve methodological development of sparse network based statistical inference for yeast. Scientific excellence and enthusiasm will be the most important criteria for selection. Previous experience in Systems Biology is advantageous but not required. Wit's research group consists currently of 2 PhD students, 1 postdoc and 1 instructor, with an additional vacant assistant professor position. 
Keywords: Penalized likelihood, high-dimensional inference, statistical learning, network models

Background
The Systems Biology Centre for Metabolism and Ageing (SBC-EMA) is one of three national systems biology centres funded by the Dutch Science Foundation (NWO). It is a joint effort between the University Medical Centre Groningen and the Faculty of Mathematics and Natural Sciences of the University of Groningen. The Centre will be housed in the new building of ERIBA, the European Research Institute on the Biology of Ageing. In SBC-EMA scientists from various disciplines will collaborate.

Conditions of employment
- The maximum salary is depending on qualifications and experience € 4.502,- gross per month (scale 11) for postdocs and € 2.673,- for PhD students.
- PhD positions will be for 4 years, postdoc positions for 3 years.
- The conditions of employment comply with the Collective Labour Agreement of Medical Centres (CAO-UMC) or of the Dutch Universities, depending on whether the candidate will be appointed at the UMCG or at the Faculty of Mathematics and Natural Sciences.


The Systems Biology Centre for Metabolism and Ageing
The Systems Biology Centre for Metabolism and Ageing (SBC-EMA) is one of three national systems biology centres funded by the Dutch Science Foundation (NWO). It is a joint effort between the University Medical Centre Groningen and the Faculty of Mathematics and Natural Sciences of the University of Groningen. The Centre will be housed in the new building of ERIBA, the European Research Institute on the Biology of Ageing. In SBC-EMA scientists from various disciplines will collaborate. The University of Groningen offers excellent facilities for research and training. Project description Our goal is to unravel the intricate relationship between metabolism and the biology of ageing. This relationship, which has been conserved throughout evolution, is bidirectional: metabolism affects the ageing of an organism, while the metabolic system itself declines under the influence of ageing. Both metabolism and ageing are systems properties that are affected by a large number of processes at the molecular, cellular and organ level. Hence a full understanding of metabolism, ageing and their interaction necessitates a systems-biology approach. We use the budding yeast Saccharomyces cerevisiae and the mouse as model organisms. With an interdisciplinary team of scientists, we will use various approaches of systems biology, including (i) high-throughput omics techniques, (ii) dedicated quantitative experimentation, (iii) top-down computational approaches, and (iv) bottom-up modelling approaches. 

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<abstract> WHAT: PhD in Statistics (4 yr) / Postdoc in Statistics (3 yr) TOPIC: Network-based statistical inference for replicatively aging in yeast SALARY: Max salary PhD € 2.673,- / Max salary Postdoc € 4.502,- gross per month DEADLINE: 22 November, 2011 (23:59) CONTACT: Prof. Ernst Wit ([log in to unmask]) </abstract> You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.

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