510 computer "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
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Title: Associate or Senior Editor, Nature Communications (Digital health and computational biology) Location: New York, Jersey City, Philadelphia or Shanghai Closing date: February 6th, 2026. About
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Job Description The Staff Scientific Computing Engineer advances data analysis projects by developing hardware/software solutions and providing technical leadership for critical scientific computing
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Job Description SJCRH The St. Jude Affiliate Program is seeking a motivated and forward-thinking faculty member to serve as the program medical director. The St. Jude Affiliate Program is a network
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, support, and encouragement to advance and grow their careers. Job Overview The Program Administrator - Research Integrity reports to the Senior Program Manager, Research Integrity and plays an important
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to somatic alterations, identify disease-causing events, and understand how the genetic alterations affect treatment response by combining computational and experimental approaches. The Yang Lab is recruiting
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gained to improve the sustainability of agriculture and the climate change resilience of crops. The Maere lab at PSB ( http://www.maerelab.be ) is active in the fields of computational biology
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. degree and should possess good communication skills. Visit our lab website at: https://med.virginia.edu/le-lab/ Read our publications at: https://med.virginia.edu/le-lab/publications/ Interested candidates
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Tenure-Track Faculty Positions in Breast Cancer Translational Research Program Winthrop Rockefeller Cancer Institute | University of Arkansas for Medical Sciences The Winthrop Rockefeller Cancer
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, and industry. The ideal candidates research program will build upon or complement the expertise of the current GPI faculty (https://www.augusta.edu/institutes/gpi/gpi-faculty/index.php ) and research
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing