51 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Cornell University
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in New York, across the nation, and around the world. Position Function This postdoctoral associate position is funded through the NIFA-USDA to conduct research on the ecological, chemical, and the
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in New York, across the nation, and around the world. Position Function This postdoctoral associate position is funded through the NIFA-USDA to conduct research on the ecological, chemical, and the
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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This position requires the following: • A PhD in engineering, operations research, or a related field. • A proven track record of independence and a strong enthusiasm for interdisciplinary research in energy
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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presentation/publication of research findings. Candidates with a Biology and Biomedical Science related Master's degree or DVM degree in addition to a PhD are preferred. This position will require attention
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estimating equations, Cox proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.) 3. Excellent quantitative, technical, analytic, and applied research
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your cover letter, including which Shima Seiki machine you operated, how long have you worked with the machine, and for what purposes/projects, PhD degree in Computer Science, Electrical Engineering
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researchers, including the Cornell Institute for Digital Agriculture (CIDA). What We're Looking For: DVM and/or PhD (or equivalent) in veterinary, animal, or biological sciences. Experience or strong interest
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of postdoctoral associates, PhD students, and several Master’s or undergraduate students across multiple universities and organizations. The research team will work alongside the engineering team to investigate