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Field
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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, Electrical Engineering, Oceanography, Ocean Engineering, Geophysics, or a related field. Familiarity with underwater active acoustics. Experience with common acoustical signal processing techniques, including
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 21 hours ago
research for full-stack production system that includes Python/FastAPI, MongoDB, and a TypeScript/React client; (2) apply AI and machine learning to a challenging real-world problem; (3) gain knowledge
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of an extension, subject to funding. You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering
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Cornell University (5%). Qualifications: A Ph.D. in a relevant field (e.g. machine learning, ecology, biological sciences, computer science, statistics, engineering) Demonstrated quantitative skills
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Computer engineering Researcher Profile