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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems
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, Oklahoma State University, Virginia Tech, and private farms in Lexington, KY. Required Education and Experience: • PhD in kinesiology, animal science, or related field. Preferred Education and Experience
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experiment, as well as in the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward
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university life Study in Tübingen Back Degree-seeking students International PhD candidates Erasmus and Exchange to Tübingen Summer courses and short-term programs Advice and counseling for international
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
training for study personnel in Malawi. Primary responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in
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or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation strategies. These projects aim to integrate epidemiology
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of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates with experience in these areas. The researcher will work closely with