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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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the department The postdoctoral fellow will report to the project coordinator and Principal Investigator for AI4KIDS. Your profile PhD degree in Computer Science or in related fields, e.g., Software Engineering
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and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and
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PhD, MD or MD/PhD. Interested candidates must have 1) a strong background in biochemistry, cell biology, molecular biology, or a related discipline, 2) a solid publication record, and 3) scientific
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in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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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
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research lab, with a PhD and/or MD. The ideal candidate(s) should have less than 2 years of prior postdoctoral experience and have a background in cancer or cell and molecular biology. Experience in RAS
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. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the
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biological questions in cardiovascular science that can be addressed using imaging-derived and multi-omics data. This is a full-time post (35 hours per week), and you will be offered a fixed-term contract for