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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
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federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a
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at local, state, national, and international meetings, and through publications, town halls, and/or mass media to key stakeholders. Teach in School of Nursing programs according to educational preparation
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documents must be submitted via the online platform https://jobs.uw.edu.pl/en /: Candidate’s questionnaire (to be filled in online), PhD diploma (copy), Up to 3 selected publications, Curriculum Vitae with a
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Kepler University Linz (JKU). Check out the detailed announcement on our homepage: https://www.pro2future.at/phd-candidate-within-the-topic-ai-driven-software-instrumentation/ Where to apply E-mail jobs
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data