33 parallel-and-distributed-computing Fellowship positions at Nature Careers in United States
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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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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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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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collaborative research environment that brings together computational scientists, clinicians, and biomedical researchers to address pressing challenges in precision medicine and biomedical data science. QBRC is a
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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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Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the
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these discoveries into new therapeutic strategies. Individual projects will be tailored to the candidate’s background and interests, with additional opportunities for collaborative work with the Cancer Program at
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pediatric psychology. The postdoctoral fellowship training program is designed to enhance skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will
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that combines molecular biology, computational biology, structural biology and chemistry with various ‘Omics’ techniques such as proteomics to study the pathways and protein complexes involved in the regulation