73 professor-computer-"https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at Nature Careers
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The Neuro-Oncology Branch (NOB) at the National Cancer Institute’s Center for Cancer Research (CCR) is a specialized program dedicated to advancing the study and treatment of brain and central
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of the production of future food and alternative proteins, priority areas of interest are highlighted below: Cultivated meat: examples include a research program on cell line development, cell
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• Opportunities to build a competitive academic portfolio Minimum Qualifications: • MD, DO, or equivalent medical degree (or currently enrolled in an accredited residency/fellowship program), or advanced
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. Familiarity with public health challenges related to tuberculosis Familiarity with high-performance computing (HPC). About Working at the Crick Our values Everyone who works at the Crick has a valuable role to
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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experience in using interdisciplinary approaches in their research program. Excellent written and oral communication skills. To see the complete job description click here . To see more about team/Group Leader
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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advancing understanding and treatment of pediatric cancer. Dr. Brian Crompton’s lab is an interdisciplinary team with both computational and wet bench scientists that utilize omics (e.g. genomic, epigenomic
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manufacturing capabilities, and high-performance computing resources. The ideal candidate will have a track record of high-impact first or lead-author publications, demonstrable potential for independent research