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on their background, expertise and affinities. Possible directions include: Formalizing GPU kernel semantics (e.g., PTX/Triton) in a proof assistant and verifying high-performance inference kernels (numerical accuracy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
at new fundamental discoveries using a variety of established, emerging, and new model systems. All candidates must have earned a Ph.D. or equivalent degree, have post-doctoral research experience, and be
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quantifying inclusion size and morphology and assessing the influence of surface features such as oxides, wire marks, and indents on stress concentrations. These data will inform numerical and analytical models
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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increasingly sophisticated representations of marine biogeochemical processes and unprecedented high-resolution numerical experimentation. Together, they will help ensure that the modelling infrastructure
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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these to address real-world data science and modelling challenges. The Group includes a team of research software engineers and research data scientists. We note the considerable overlap between these emerging roles
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck (IQOQI-IBK) | Austria | 15 days ago
• Experience in data analysis and theoretical modelling of physical systems • Knowledge of the theoretical description of quantum systems in general and many-body systems in the context of ultracold dipolar
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benchmarking, financial modeling, compensation analytics, and workforce analyses, transforming data into clear recommendations for senior decision-makers. Lead university-wide salary initiatives: Guide
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications