71 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions at Duke University
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cancer in collaboration with Department of Medicine and Duke Cancer Institute investigators. You will develop your research skills under faculty mentorship while contributing to collaborative cancer
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, Quantitative Social Science, or a closely related field. Strong understanding of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities
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methods, and translational science, with a strong emphasis on rigorous study design, reproducible analytics, and integration of biological and social data. Minimum Requirements: A PhD degree is
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passionate about advancing science and improving lives. As a Postdoctoral Associate in the laboratory of Dr. Vadim Arshavsky at the Albert Eye Research Institute , you will join a world-class research
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Science in Nursing (MSN), Doctor of Nursing Practice (DNP), and PhD in Nursing. Our programs are designed to meet the evolving demands of today’s healthcare landscape, equipping graduates with rigorous
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with hierarchical modeling and mixed effects models. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae
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development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke
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variety of laboratory and molecular research techniques. Minimum Requirements PhD or equivalent doctoral degree in biology, nutrition, animal science, biomedical science, or a related field. A minimum
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Institute Center for Prostate and Urologic Cancers is a multi-investigator translational research laboratory focused on molecular mechanisms underlying the evolution of prostate cancer progression
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., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience