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Post-Doctoral Research Associate: The Evolutionary Ecology Group (Fixed term)


We are looking for a population geneticist to work in Dr Andrea Manica's Research Group in the Department of Zoology on a project investigating localised selection in humans. This ERC funded post is available for up to 40 months, with a start date of 10 April 2017 or soon thereafter. Department of Zoology is located in Cambridge city centre, on Downing Street. Required experience / knowledge for the position Essential: - A PhD in population genetics or closely related subjects; - Experience devising and implementing population genetics models; - Advances programming skills in C++, to develop the spatial population genetics framework used by the project; - Willingness to interact with specialist from other fields, such as archaeology and climatology; - Ability to organise time, plan ahead and to work effectively independently; - Good data handling and data analysis skills; - Good communication skills (written and oral); - Ability to work in a team and strong inter-personal skills. Desirable: - Experience with analysis of whole genome data; - Experience analysing ancient genomes; - Numerical skills and statistical analysis using R or Matlab (or a similar language); - Experience in working with High Performance Computing facilities; - Background knowledge (e.g. from degree courses) of archaeology or anthropology.

Duties will include: - Developing CISGeM, in close collaboration with a climate modeller already employed by the grant; - Using CISGeM to investigate demography and selection during key episodes of the out of Africa expansion and later periods; - Interacting with archaeologists and climate modellers to help result interpretation; - Preparation of manuscripts for publication.

Fixed-term: The funds for this post are available for up to 40 months.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF11586 on your application and in any correspondence about this vacancy.

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