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Field
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in animal or population genetics and are you curious and eager to further
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Areas: Ecology and Evolutionary Biology Biology / Biodiversity , Biology , Biophysics , Cell & Molecular Neurobiology , Cell Biology , Climate-change Biology , Computational biology , Ecology
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age group in France, from new comprehensive community surveillance system RELAB, vi) studying how heterogeneous contacts in a population can affect estimates of variant growth advantage. Successful
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Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
(CBCS), a large, diverse population-based study. Projects will focus on identifying genetic and environmental risk factors for breast cancer and benign breast disease, with opportunities to work at the
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stable isotope analysis, fatty acid analysis or other biochemical tracers used to study diet composition and food-web dynamics. Competence in processing and analysing various monitoring data for population
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cells evolve into several sub-populations with different functions (Khelfa art in prep). The aim of this project is to study the respective functions of these subpopulations, to compare frozen pDC
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to study the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject