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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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intelligence and machine learning, with a focus on applications in library and information science. The AI Research Scientist will design and implement novel AI algorithms and models to enhance and expand
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Make a Difference at Grand Canyon University The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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Department of Film and Media Arts within the College of Visual and Performing Arts seeks a Part-Time Instructor to teach CAR 102, The Art and Craft of Animation, a three-credit hour course, during the fall
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spring quarters. This faculty member will likely teach three courses about military psychology alongside other core or elective coursework, depending on the candidate’s interest, expertise, and program
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. Harper College provides excellent facilities to students and faculty in the Computer Information Systems program. The college has multiple labs and facilities as part of the learning environment
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. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters