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. Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to
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achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3
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knowledge to real-world circumstances. Candidates must have a PhD, J.D. or other terminal degree in their academic discipline to be able to teach a graduate-level course. Candidates with an MA plus 20 years
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that shape our future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive
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quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating
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California State University, San Bernardino | San Bernardino, California | United States | 2 days ago
) and graduate (MPH) programs in Public Health and help with development of the DrPH program. The successful candidate will teach in all programs and is expected to be familiar with the Council
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of artificial intelligence, including statistical/machine learning theory, optimization, and deep learning. Successful candidates must have a strong record of research and teaching and should complement
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working for an institution doing worldwide life-changing teaching and research. Learn more here: https://hr.osu.edu/careers/ . In accordance with the Disaster Preparedness and University State
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develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer