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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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for a full-time lecturer position. The appointment will be effective August 2026. Successful candidates must be able to teach in-person human anatomy and physiology lectures and labs. Candidates should
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now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se
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be required to submit employment verification documents on their first day of work. For a list of acceptable documentation, follow this link: https://sycamoresindstate.sharepoint.com/sites/EMP
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/intercom and imprinters. Also includes filing, chart assembly and maintenance, maintaining patient records, and extensive verbal communication. Skills / Knowledge / Abilities Basic administrative skills
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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise in
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for discovery and learning in all areas of information and computer sciences. Your Role on the Team ICS Computing Support is on the leading edge of information technology, delivering advanced technology solutions
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
. Effective interpersonal communication skills in both verbal and written with ability to foster and create an atmosphere of teamwork. Computer knowledge and skill with Google Chrome, Microsoft Word, and Excel
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candidate for a Instructor to teach undergraduate courses in animal and veterinary biosciences during the Summer 2026 session. Expertise in companion animal behavior, training, anatomy, physiology, nutrition
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati