679 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Nature Careers in United States
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The AlQuraishi Lab in the Department of Systems Biology and Computer Science at Columbia University is seeking a Scientific Program Manager with experience in technical management of machine
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-quality, extramurally-funded cancer research program. They will also have the opportunity to participate in some teaching of graduate students and to serve as a research mentor for VT graduate, medical and
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foundation in related fields who are eager to learn and contribute to our research program. Technical duties include but are not limited to: Lead independent research projects, including hypothesis development
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Biological Sciences. For a complete description of this position and to apply online, visit our jobsite at https://jobs.kent.edu
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We are seeking a highly motivated and creative candidate for a fully supported postdoctoral fellowship to develop immune-based therapies. Specifically, the research is aimed to develop cell-based immunotherapies for pediatric tumors. Studies are focused on using genetic engineering approaches to...
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program and contribute to teaching and research mentoring at the undergraduate and graduate levels. SAS is a multidisciplinary college that affords opportunities for intellectual interactions across diverse
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, Human Cell Atlas, and computing initiatives with Oak Ridge National Labs. Candidates are expected to develop a strong and creative research program and participate in graduate education, mentor graduate
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Flatiron Research Fellow, Genomics, Center for Computational Biology Our Commitment to Expanding Pathways to Science & Opportunities for All: Many of the greatest ideas and discoveries come from a
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basic or translational research and the potential to develop an outstanding independent research program that supports the Institute's ultimate goal of harnessing the immune system to prevent and cure
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implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com