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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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Areas: computer science; applied math; artificial intelligence; machine learning; statistics; engineering Appl Deadline: 2026/02/06 11:59PM (listed until 2026/06/19) Fellowship Description: Apply
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discount programs Posting Summary The Department of Labor and Employment Relations at Rutgers University seeks to hire instructors who can teach a range of courses (i.e., Intro to Labor Studies; Occupational
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and 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
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of Rutgers University https://jobs.rutgers.edu/postings/266920 and submit 1) a Curriculum Vitae, 2) cover letter stating your research interests and qualification for this position, 3) PhD degree
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of
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to enhance machine learning-based infectious disease diagnostic studies. Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to
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for a motivated Research Associate with skills in Machine Learning to join our team working in the School. You will contribute to UNSW’s research efforts by developing advanced machine learning models and