82 associate-professor-computer-science "https:" "https:" "https:" "https:" Fellowship positions at Nature Careers
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you get the best start to your academic career at one of Australia’s leading universities! The Wainwright laboratory focuses on using genomic, genetic and cell biology approaches to understand
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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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: 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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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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science into benefits for human health and the economy. About the role Our lab aims to understand how functional organs are built during embryonic development, an important problem in biology with
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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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• 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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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