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analyses of micro-randomized trials and experimental designs for Markov decision processes. The candidate is expected to innovate statistical methods and algorithms, create software implementations, carry
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Grant: Research Initiation Grant (Bolsa de
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algorithms or infrastructure Experience with cloud computing/API infrastructure (Google Earth Engine, OpenGeo etc.) Part 107 Certificate Experience in designing a flight path, operating drone flights
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. in genetics, cancer biology, computational biology, bioinformatics, computer science, systems biology, or a related field with relevant experience. Candidates from quantitative disciplines, including
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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an undergraduate or graduate degree program in computer science, data science, biology, genetics, bioinformatics, or a related field. Enrollment may be outside the University of Minnesota at a different institution
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Location SAINT LOUIS, MO 63110 Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing
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to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning Qualifications Applicants must have: A Ph.D. in Computer Science, Data Science, Artificial
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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas