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, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in
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Dissemination: 20% Training, Supervision, and Program Support: 20% Requirements Required Qualifications: A PhD in plant pathology, plant biology, or a closely related discipline. Experience working with plant
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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College of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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, how long have you worked with the machine, and for what purposes/projects, · PhD degree in Computer Science, Electrical Engineering, Information Science, Mechanical Engineering, Human-Computer
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of