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Field
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an interest (or prior experience) in computational intelligence, AI and/or agent-based modeling techniques. He or she will work closely with researchers in the Electrical Engineering department at TU Eindhoven
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 18 hours ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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This is a fully funded, 3-year PhD studentship Fees and Bench fees: The studentship covers bench fees, stipend, and tuition fees. Visa and associated costs are not funded. Start Date: January 2026
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4 PhD students? Then, these PhD positions are made for you! Information We invite highly motivated students with a strong background in dynamical systems, mathematical system theory and control, and
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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14 Oct 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Computer science » Other Engineering » Electrical engineering Engineering » Other Mathematics
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. This PhD will develop automotive-grade DC-DC and bidirectional converter systems that enable vehicle-integrated photovoltaics (VIPV) and intelligent charging hubs under the Horizon Europe project SUN-TRANS
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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or equivalent Specific Requirements PhD student - environmental science at least 1 year of professional experience (including research activity in a higher education institution) Proficiency in MS Office (Word
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, many publications lack complete, structured representations of their computational processes. This PhD project involves a GenAI-based approach to replicate and rebuild scientific data analysis workflows