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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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, the postdoc will teach one or two courses in the Department of Biology. Minimum Education and/or Work Experience PhD required in related field. Qualifications Applicants must have a Ph.D. in neurobiology or a
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of Dr. Grace Muller Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Requires a minimum of Ph.D. (or equivalent terminal degree in a relevant discipline). Certificates
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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation (ML4Earth
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers
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public health. The Maywood Health Sciences Campus is located 11 miles west of downtown Chicago, and is accessible by car or public transportation. The campus’s suburban setting but close proximity
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qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning Enthusiasm
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine learning
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, semiparametric inference), and ideally experience with high-dimensional econometrics, machine learning, or advanced causal inference methods. Demonstrate the ability and motivation to pursue independent research