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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 11 days ago
limited to: Problems at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML) Systems and Software Cybersecurity: secure hardware, OS, network, and cloud/edge systems Usable
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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Northwest, Department of Computer Information Technology and Graphics, invites applications for a tenure-track Assistant Professor in Artificial Intelligence, with employment starting on August 17, 2026
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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
for this position is $58,100 - $123,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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-the-art multi-disciplinary infectious disease ambulatory practice. The faculty member will mentor and teach medical students as a part of the New Jersey Medical School Community Learning Group
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experience in areas that align with the faculty (https://neuroscience.barnard.edu/people ), specifically in the areas of vision, learning, and development at the molecular, cellular, systems, cognitive
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from Hi-C and Capture Hi-C experiments. Have experience developing graphical user interfaces (GUIs). Candidates with knowledge or experience in machine learning methods will be prioritized. Successful
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experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is
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condition: work experience related to modular curves, Galois representations, modular forms or machine learning for number theory. The supporting evidence should include a list of published papers