45 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" Fellowship positions at Nature Careers in United States
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Postdoctoral Research Fellow - Lane Lab Dana-Farber Cancer Institute Boston, MA Full Time Overview A full-time postdoctoral research fellow position is available in the cancer biology laboratory
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for program participation. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through
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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
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will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as part of the Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter) and
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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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The Omenn-Darling Bioengineering Institute at Princeton University invites applications for the ODBI2 (Omenn-Darling Bioengineering Institute Innovators) Fellows Program. ODBI2 Fellows will work
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: https://ragoninstitute.org/yu/ and https://ragoninstitute.org/lichterfeld/ Job Duties: Responsible for the design, execution, and interpretation of experiments; Interfaces with collaborators to design
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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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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets