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Field
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Equations & Applications Data Science, Machine Learning, and AI Mathematical Materials Science and other emerging fields in applied mathematics Qualifications: A PhD (completed or expected by the date
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and machine-learning potentials for planetary materials. Curating and generating large-scale ab initio datasets across wide pressureâ“temperature regimes. Designing and training advanced machine
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 30-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus). ▪ Familiarity with VR-related toolkits (e.g., Unity, Unreal, or eye tracking) is an
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
analysis, machine learning, eye tracking). The main duty of the post-holder will be statistical consulting. A broad knowledge of statistics in this scientific area is required. The applicant should have in
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Postdoc in Molecular Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 08.07.2026 Join a place where
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Engineering, Systems Engineering, Data Science, or a closely related field Experience with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order modeling (ROM
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and
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their relationship to users’ subjectively placed (dis)trust in the technology. To help addressing these questions, we are looking for a postdoc with several years of experience in doing interdisciplinary