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quality and quantitative performance. As part of a multidisciplinary team spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you will contribute
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leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information Science
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
expected to be January 1st, 2027, or later, with a 3-year guarantee, subject to extension for up to five years. Applicants should have a PhD in physics, chemistry, or a related field before starting
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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Max Planck Institute of Microstructure Physics, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 2 months ago
experimental research groups International visibility and participation in joint workshops and conferences Requirements Applicants should hold a Ph.D. in physics, chemistry, materials science, or a closely
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 14 days ago
Researcher (R3) Application Deadline 13 Oct 2026 - 08:07 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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At IET-1, we are studying the electrolysis of CO2 for the sustainable conversion of green energy into chemical energy carriers in order to defossilize the chemical industry. The process control and
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the academic community Advising of student researchers What you contribute Ph.D. in Computer Science, Neuroscience, or similar program Background in Machine Learning and Computational Vision, ideally with
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to open-source releases Your profile - PhD in Meteorology, Physics, Computer Science, Environmental Sciences, or a related field - Experience with atmospheric models and geostatistical interpolation methods