73 parallel-computing-numerical-methods "https:" Fellowship positions at Nature Careers
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candidates with a recent PhD or MD/PhD in biomedical sciences Significant experience in immunology, molecular biology, and biochemistry are encouraged to apply. Technical experience in immunology and methods
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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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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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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
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systems, behavioural, and computational neuroscientists, supporting career development, mentorship, and opportunities to present research at international conferences. About You PhD in Neuroscience or a
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computational modelling of the electronic structure of nitride systems. You will be embedded in a vibrant scientific community at PSI, exploring solid-state systems through a variety of complementary techniques