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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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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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per week health and life insurance, flexible spending accounts and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https
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/Credentials/Licenses n/a Computer Skills N/A Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or patient contact? No Physical Demands
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scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data analysis and
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project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures. Your
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and