40 machine-learning "https:" "https:" "https:" "https:" Postdoctoral positions at Rutgers University
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renewable for a second year pending budgetary approval. In addition, the research support, the position offers the opportunity to teach one 3-credit course per academic year designed to help undergraduate
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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
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at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile health technologies
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Partner School to teach and mentor undergraduate student, in support of developing an independent academic research career. Performs other related duties as assigned. FLSA Exempt Grade Salary Details
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Candidates must have the ability to work independently as well as collaboratively within a diverse group and be willing to learn techniques and methodologies. Candidates must be highly motivated, creative and
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Ernest Mario School of Pharmacy at Rutgers, the State University of New Jersey is seeking multiple post
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Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications
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milestone 250th anniversary in 2016, the university is the eighth oldest higher education institution in the United States. More than 67,000 students and 22,000 faculty and staff learn, work, and serve
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-making. Among the key duties of this position are the following: Develop and refine computational models (e.g., mechanistic, machine learning, or hybrid approaches) for ICU patients. Integrate and analyze