76 computer-science-phd Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: Education: PhD in Immunology, Data Science and/or
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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prepare fellows for independent academic and research careers. What You'll Bring: Required Qualifications PhD in Biomedical Engineering, Physics, or a closely related field, or an equivalent doctoral degree
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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. The Di Talia lab at Duke University School of Medicine seeks a highly motivated postdoctoral research fellow for a fully funded position in our lab. Minimum Requirements: PhD in a Cell Biology
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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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of patient-derived clinical samples collected through prospective clinical trials. What You'll Bring Required Qualifications PhD, MD, or MD/PhD in Cancer Biology, Molecular Biology, Genetics, Genomics
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on implementation science approaches, to guide implementation, evaluation, and continuous learning. Lead and conduct analyses that generate actionable insights for policy, program improvement, implementation, and