34 associate-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers
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(exact funding levels will be set at the time of offer). Guarini Dean’s Postdoctoral Fellows are part of the Provost’s Fellowship Program (PROF) , a multidisciplinary cohort of approximately ten
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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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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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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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: 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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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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challenges. We are seeking a talented and motivated Senior Computational Postdoctoral Fellow to lead the analysis for Project JAGUAR , a landmark multi-country initiative generating one of the world’s most
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status and have privileges to apply for external grants to expand their research program. The Fellows will have a strong support network and opportunities to build a highly interdisciplinary 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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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