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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 3 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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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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Denmark, invites candidates for a fully funded PhD-position starting 1 March 2026 or as soon as possible thereafter. The position is for 3 years. The position and the project The chosen candidate will join
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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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Doctoral Networks Programme. We welcome applications from PhD candidates from any country fulfilling the following mobility criteria: Eligible candidates must not have resided or carried out their main
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practices across the circular steel ecosystem. This PhD position is part of the Groeien met Groen Staal program from the Dutch national growth fund (https://groeienmetgroenstaal.nl). The Groein met Groen
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, MSc, and PhD degrees in computer science and mathematics, a BSc in artificial intelligence, an MSc degree in data science, and an MSc in quantum computing. Candidate Profile We are looking for highly
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stochastics group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications via the Ellis PhD Program for a PhD position in mathematical machine learning
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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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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