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Position: Postdoc - Computational Population Genomics
Institution: Université de Lausanne
Department: Biology and Medicine
Location: Lausanne, Switzerland
Duties: A postdoctoral position in computational population genomics is available in the Department of Computational Biology. The main project for this position includes the coordination of data generation (potentially including field trips), data analysis with existing computational methods as well as extensive simulations for validations of results. We are looking for a computational biologist to analyze novel ancient human genomic datasets to further characterize how humans peopled regions such as the Pacific or the Americas. Depending on interests and skill sets, the candidate could also decide to develop novel computational methods to characterize evolutionary processes relying on time serial data
Requirements: PhD in computational biology, population genetics or related fields. Programming experience (e.g. python, R or C/C++, …). Good knowledge of probability and statistics, including Markovian processes. Experience of UNIX environment. Fluency in spoken and written English
   
Text: Introduction The University of Lausanne (UNIL) is a higher teaching and research institution where approximately 14,000 students and nearly 4,000 collaborators, professors, and researchers work and study. Ideally situated along the lake of Geneva, near Lausanne's city center, its campus brings together over 120 nationalities. Presentation A postdoctoral position in computational population genomics is available in the research group of Anna-Sapfo Malaspinas in the Department of Computational Biology at the University of Lausanne. The main project for this position includes the coordination of data generation (potentially including field trips), data analysis with existing computational methods as well as extensive simulations for validations of results. Job information Start date: to be agreed Duration of contract: 1 year with a possible extension for another 2 years Employment rate: 100% Workplace: Lausanne Dorigny Salary: competitive annual salary (about CHF 80,000 ~ USD 80,000 ~ Euro 68,000/year) Desired qualifications The ideal candidate should have the following qualifications: PhD in computational biology, population genetics or related fields. Programming experience (e.g. python, R or C/C , …). Good knowledge of probability and statistics, including Markovian processes. Experience of UNIX environment. Fluency in spoken and written English. Job description We are looking for a computational biologist to analyze novel ancient human genomic datasets to further characterize how humans peopled regions such as the Pacific or the Americas. Depending on interests and skill sets, the candidate could also decide to develop novel computational methods to characterize evolutionary processes relying on time serial data. Finally it is possible to set some time aside for i) a personal side project (please send a short description with your application), ii) gaining experience in training master and PhD students and iii) applying for grants for the next academic steps. Our research interests In our group, we generally aim at characterizing evolutionary processes while relying on genomics data from both modern and ancient samples. We develop analytical and computational methods to analyze and interpret population genomic data and we apply those methods to novel DNA datasets via collaborative projects. Application materials Interested applicants should send: a CV (including publication list), contact information for three references, a cover letter stating general research interests and motivation to join the group. Applications should be sent using the following link and for further information, please contact annasapfo.malaspinas@unil.ch Your application Deadline: 01.03.2018 Please, send your full application (CV, publication list, motivation letter, and 3 references) in PDF. Only applications through this website will be taken into account. Note: seeking to promote an equitable representation of men and women among its staff, the University of Lausanne encourages applications from women. Apply Apply Using LinkedIn™ Save Job Email Job to Friend Return to List
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