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beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 4 hours ago
*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are invited to self-declare when applying to this hiring process. City: Within a
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application process here. About the position Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As agile development scales to larger, more complex organizations
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 2 months ago
12 Aug 2026 Job Information Organisation/Company Max Planck Institute of Colloids and Interfaces Research Field Biological sciences Chemistry Physics Engineering Researcher Profile First Stage
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temperature-driven deposition. Job requirements Applicants are expected to have a university degree (MSc) in physics, astronomy, Earth and/or planetary sciences, or a related area, with a strong background in
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at the IPCMS (Institute of Physics and Chemistry of Materials of Strasbourg), which investigates the electronic, optical, and magnetic properties of atomic-scale structures. The research will be carried out
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outcomes: designing interventions that steer cells toward a desired molecular state, and updating trained models as new data arrive, toward a lab-in-the-loop setup. These directions build on our earlier work