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insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry out independent research and to work effectively in a collaborative team. Strong written and oral
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interfaces. Plan controlled ablation studies and reproducible evaluations using scratch training across multiple seeds, exact train and validation metrics, parity and error analyses, gradient checks, and end
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programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of biophysics or material design (all atom
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framework for unsupervised deep imaging phenotyping and imaging GWAS. The lab is now expanding these programs across pangenome informatics, clinical deployment-oriented AI, and multimodal imaging genetics
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invites applications for one a 1-year post-doctoral researcher, renewable up to 4 years, for interdisciplinary work applying tile-based programming abstractions to an adaptive mesh refinement computation
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
unswerving commitment to doing what’s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at
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represent the organization by giving technical presentations to DOE program managers and in large public forums. Basic Qualifications: A PhD or equivalent experience in nuclear, mechanical, or chemical
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch
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the Wellcome Leap VISIBLE program focused on developing and translating artificial-intelligence methods for characterizing coronary microvascular disease, with particular emphasis on women’s cardiovascular