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Field
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and programming skills
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collaboration with Texas A&M College of Engineering, Texas A&M School of Medicine and the state’s top-ranked Houston Methodist Hospital offer an innovative medical school program called ENMED. This program was
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-borne diseases modeling. The ideal candidate should have 1) a strong background in applied mathematical sciences, computer science, or any other quantitative field, 2) experience with population biology
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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developing and delivering research proposals • Potentially co-develop or co-teach courses in IE Required Qualifications • Ph.D. or equivalent degree in Industrial Engineering, Statistics, Computer Science
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to Science, Technology, Engineering, or Mathematics (STEM) conferred by the time of hire or by December 2025. Must be a US Citizen or Permanent Resident as per sponsor's (National Institutes of Health
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– Abilities Biology, Chemistry, Mathematics, and Statistics. Documentation and records management Data utilization Complex problem solving and critical thinking Resource management Writing skills Preferred
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schizophrenia. Preference will be given to applicants who have received their Ph.D. degrees in computational neuroscience, physics, mathematics, computer science, or related fields within the last 3 years and
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology