2,498 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" Fellowship positions
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Innovation: https://reporter.nih.gov/project-details/11294051 · WONDER: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https
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learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be
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. Candidates should show outstanding achievement in their area of computer science, evidenced by a strong record of influential publications, inventions, or equivalent scholarly contributions, with recognition
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Academic Discipline Computer Science , Engineering & Technology , Electrical & Electronic Engineering Job Type Academic Posts , Research Fellowships , Research Related , Other Research Related
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-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science, mathematics
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Resources at 479.575.5351. Department: Graduate & Hourly Employees Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial
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for gravitational-wave and multimessenger signals and to explore challenging regimes of parameter space. Unit URL https://www.uidaho.edu/science/academics/physics Position Qualifications Required
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degree in relevant fields include Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics
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science. Train within the REACH Institute, one of the nation’s longest-standing prevention science institutions. The program prepares the next generation of substance use prevention scientists to
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. Assist in limited educational tasks of the research group WHAT WE ARE LOOKING FOR You have a master’s degree in Computer Science, Telecommunications, Electrical Engineering, or a closely related field