49 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers
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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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intelligence (AI) with experimental biology to develop RNA therapeutics for obesity, diabetes, and metabolic dysfunction-associated steatotic liver disease (MASLD). Our ongoing projects focus on building
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Dana-Farber Cancer Institute, the Broad Institute, and more Mentor and guide junior staff and students Qualifications Ph.D. in bioinformatics, computational biology, statistics, data science, machine
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approach is transdisciplinary, transformative, and co-creative. The RIFS awards the Klaus Töpfer Sustainability Fellowship as part of its Fellow Programme. Prof. Dr Klaus Töpfer was the Founding Director of
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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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nervous system (CNS) tumors. We are seeking an exceptional candidate to join our Molecular and Cell Biology (MCB) Program. This position focuses on investigating DNA repair pathways in brain tumors, with
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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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DEPARTMENT OF BIOCHEMISTRY - TE TARI MATU KOIORA FACULTY OF BIOMEDICAL SCIENCES - TE KAUPEKA MATAI ROKOA-KOIORA About the Team/Service/Location The Biochemistry Department is a large research and
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The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies
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of Population Sciences, seeks a highly motivated postdoctoral fellow in the McGraw/Patterson Center for Population Sciences. The Center is committed to population-based research aimed at detecting cancer early