342 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers
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of January 2026 on the dedicated platform (https://ibsafoundation.poliresearch.com/ ) and shall provide the following additional documents as separate files: Curriculum Vitae List of peer-reviewed publications
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vitae, a brief cover letter outlining their research experience and interests, and contact information for three references via email to: sgong@engr.wisc.edu Research Group Website: https
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opportunity to engage in collaborative research alongside Air Force scientists and engineers within the Air Force Research Laboratory (AFRL) , the Air Force Institute of Technology (AFIT) , the U.S. Air Force
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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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decisions are anticipated to be made by April 1st, 2026. Applicants must apply online at: https://www.princeton.edu/acad-positions/position/40521 Applications must be completed by January 31, 2026 at 5:00 PM
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current with the latest literature in chemical and chromatin/cancer biology is highly desirable. If you're passionate about scientific discovery and eager to learn in cancer biology, we invite you to apply
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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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learning new technologies. Minimum Education and/or Training: Bachelor's degree in relevant scientific area is required Minimum Experience: Compensation In recognition of certain U.S. state and municipal pay
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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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collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in