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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 8 days ago
great opportunity for highly talented young scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses
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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 8 days ago
opportunity? Please email [email protected] Qualifications The candidate should have a PhD in Mechanical Engineering, Aerospace Engineering, Materials Science and Engineering, or a related technical discipline. The
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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porous-silicon experience is advantageous but is not essential where a candidate brings strong adjacent expertise at the engineering-biology interface. Essential criteria A PhD awarded, or thesis submitted
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/or software engineering are recommended for this position. The post requires strong research, programming, and system development abilities. Applicants must have a track record of publications in
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others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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8 Sep 2026 Job Information Organisation/Company Wroclaw University of Science and Technology Department Faculty of Chemistry Research Field Chemistry » Other Researcher Profile Recognised Researcher
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are looking for an enthusiastic researcher with a PhD in Polymer Science, Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering