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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists
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world. The Electrical and Computer Engineering Department and NYU Nanolab host a growing interdisciplinary research program in superconducting and semiconductor-based quantum technologies, with strong ties to national
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results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: PhD in Statistics, Biostatistics, Computer Science, Electrical
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postdoctoral researcher with a PhD in Energy Engineering, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field, and strong expertise in techno-economic assessment of Power
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27 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Electrical engineering Engineering » Materials engineering Engineering » Other Physics
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27 Mar 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Chemistry » Physical chemistry Researcher Profile First Stage Researcher (R1) Positions
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Electromagnetic simulation We also welcome the researcher from different fields: AI (machine learning, big database, etc) Semiconductors As a minimum requirement, you must have a PhD degree in Electrical and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 23 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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on the extremely timely “TWISST: Terahertz wave induced spin switching technology” project. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic memory-devices
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). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering, or related fields. Specific inquiries about the position may be