There are 5 PhDs in statistics and machine learning in three different
exciting projects within NTNUs Digital Transformation initiative,
(https://www.ntnu.edu/digital-transformation). Please pass this on to
any students who might be interested in doing a PhD in statistics or
machine learning in Trondheim (or who might be interested in another
aspect of the digital world: there are almost 50 PhD positions available
in the whole programme).
Application deadline May 27.
Transforming Citizen Science for Biodiversity
The project is an interdisciplinary research programme that will develop
tools and methods to improve the way that members of the general public
collect data on what they observe in the natural world, and the way this
data is used to inform us about the natural world and how it is
changing. The amount of data being generated and uploaded to databased
such as the Norwegian Artsobservasjoner is massive, and this and the
unsystematic way the data are collected provides challenges when making
inferences from the data. This project will (1) encourage citizens to
collect data, (2) help scientists correctly interpret and use this data,
and (3) provide information back to the citizens about how the data they
have collected is being used.
Statistics / Machine Learning PhDs:
Tools for a Biodiversity Atlas
(https://www.jobbnorge.no/ledige-stillinger/stilling/151327)
Quality Control in Citizen Science data
(https://www.jobbnorge.no/ledige-stillinger/stilling/151324)
A Digital Twin for Essential Hypertension Management and Treatment
By a novel combination of exercise-, hypertension-, mathematical
modelling-, machine learning-, statistical-, biosensor-, genetic
epidemiology- and population based research we will develop a
personalized Medical Digital Twin (MyMDT) that serve as a transformative
platform for patient specific hypertensive intervention. MyMDT shall
identify, and implement, primary and secondary hypertension prevention
schemes to improve individual health outcomes and reduce health care
cost. MyMDT aim to radically improve prevention and treatment of
hypertension.
Statistics / Machine Learning PhDs:
Physics-informed Statistical Machine Learning for sensor-acquired big
data (https://www.jobbnorge.no/ledige-stillinger/stilling/151326)
Deep Learning for your Smart Cardiovascular Twin
(https://www.jobbnorge.no/ledige-stillinger/stilling/151521)
--
Bob O'Hara
Institutt for matematiske fag
NTNU
7491 Trondheim
Norway
Mobile: +47 915 54 416
Journal of Negative Results - EEB: www.jnr-eeb.org
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|