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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours 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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Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is
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spinal cord dissection, immunohistochemistry, immunoblotting, EM processing, confocal, TEM imaging, and other biochemical and molecular approaches. In addition to lab work, the postdoc will teach one
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human
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, large-scale discrete-event simulations, machine learning, mathematical modeling, and network science. Desirable Qualifications: A background in epidemiology or healthcare research. Online Application
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Calcium and Function under the direct supervision 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
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard