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. Minimum Qualifications: Ph.D. or equivalent terminal degree, or foreign degree equivalent, from an accredited institution in Chemistry, Physics or Engineering. A minimum of two (2) years postdoctoral
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faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from
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Report to the UCSF Department of Psychiatry and Behavioral Sciences Vice Chair for Research Build and direct an actively-funded clinical and translational research program Collaborate effectively and
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The University of Chicago Academic Jobs Research Assistant Professors – Hematology/Oncology #MED379 Department of Medicine, Biological Sciences Division Position Type: Other Academic Appointee
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics Analytical problem-solvers with
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technologists to push strategies into production What we're looking for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science
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pulse sequences and developing novel pulse sequences to advance the state of the art in MRI. A successful candidate should have the following qualifications: Ph.D. in Biomedical Engineering, Medical
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence