36 postdoc-parallel-computing Fellowship positions at Nature Careers in United States
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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Postdoctoral Research Fellow - Oncology and Health Policy Dana-Farber Cancer Institute Boston, MA Full Time Overview The Postdoctoral Fellowship program will provide a two-year mentored training
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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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• 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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involved in the bioinformatic and analytic aspects of predictive modeling. MINIMUM JOB QUALIFICATIONS: A Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer
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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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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