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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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project, you will develop and validate experimental methods to study wafer bonding in a quantitative and physics-based way. You will work on wafer bonding measurements and combine these with advanced
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check may form part of the selection process. Project: Youth climate Justice project For an information package including full details of the post, selection criteria and application process see https
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut d'Electronique de Microélectronique et de Nanotechnologie Research Field Engineering Physics Technology Researcher Profile
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pollutants, with particular interest in ultrafine particles and indoor aerosols; Concentrations, dynamics, and transformations of indoor pollutants, including physical and chemical processes occurring after
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 9 days ago
, of these points are still encouraged to apply. Your role in cutting edge research Everyday experience unfolds as a continuous stream that the brain must segment into meaningful episodes — a process that
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/en/research/centers-labs-and-projects/kirmizialtin-lab.html . Candidates must have a Ph.D. in Chemistry, Physics, or related field, and is less than 5 after his receiving his their PhD. years , with
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 5 days ago
application process, please contact Michaela Schwarzhaupt via E-Mail ([email protected] ). Interested? Please apply via our Online-application portal until October 11, 2026. Our reference number
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Do you want to contribute to cutting-edge research in nanoscale optical manipulation and sensing? Join us at the Division of Nano- and Biophysics, at The Department of Physics and Astronomy, and
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical