A Research Associate position in Machine Learning and Human Population Genetics is available
to work with Dr Matteo Fumagalli on a 3-year research project at Imperial
College London.

The project aims at developing a novel methodology to detect signatures of
natural selection in the human genome using machine learning. By analysing
genomic data from a large cohort of individuals from Latin America,
this project aims at quantifying how much natural selection has shaped
anthropometric and physiological traits in these populations. A series of
outreach activities aimed at Latin American communities in the UK will be
organised to raise awareness of current research in population genetics.

The post is with the Department of Life Sciences, Silwood Park campus
(Ascot). The Department of Life Sciences was the top ranked university
department in the UK for research intensity in Biological Sciences in
REF2014 (Times Higher Education), scoring 100% on our environment.

A PhD (or equivalent) in population genetics, human genetics,
bioinformatics, computational biology or a relevant field is required.

This is a full time, fixed term post for 3 years.

For informal enquiries please contact Dr Matteo Fumagalli via email at
m.fumagalli@imperial.ac.uk .

Closing date 21 November 2018

Full information on the position and how to apply:
https://www.imperial.ac.uk/jobs/description/NAT00222/research-associate-human-population-genetics