174 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" PhD positions in United States
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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of soluble and membrane proteins using a variety of NMR techniques. 20% Training/supervision of technicians and undergraduates - Teach technical staff newly developed methodologies and supervise data
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/ Qualifications Basic qualifications (required at the time the application is submitted) Ph.D. (or equivalent foreign degree) in education, field biology, ecology, evolution, or a related field. A minimum of four
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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of an incomparable Southern California location. UCI's unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and
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from the U.S. DOT (FHWA), U.S. DOD (Air Force, Army Corps of Engineers, UARC/NSRI/USTRATCOMM, etc.), State Departments of Transportation, private industry, etc. MwRSF has spent over 34 years developing
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-Oncology by leading projects aimed at developing therapeutic strategies that enhance innate immunity against cancers that are refractory to immunotherapy. The appointees will be expected to build internal
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faculty members and their students perform experiments at the School of Dentistry. The candidate for this Lab Manager position will perform detailed molecular biology experiments as well as train and mentor
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to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate