128 computer-science-programming-languages-"Prof.-Dr"-"Prof.-Dr" Fellowship positions at Nature Careers
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A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center
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Training Group (RTG) “Activation of anti-Microbial Effectors (ACME)” (coordinator: Dirk Schlüter, Hannover) funded by the German Research Foundation. The central aim of the program is to give highly
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program. Position Summary The MacDonald Lab (www.bcell.org) at the Alberta Diabetes Institute would like to hear from postdoctoral candidates with a keen interest in advancing understanding of insulin and
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are looking for a Research Fellow to work in the area of
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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the project and the Programme team Contribute to writing bids for research funding Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise
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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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Postdoctoral Research Fellow - Jones Lab Chemistry Dana-Farber Cancer Institute Boston, MA Full Time Overview The Jones Lab is developing next-generation covalent chemical biology with the objective
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mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to identify