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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher CMS Experiment Employer Helmholtz
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
Astrochemistry Postdoctoral positions (m/f/d) | Nanoparticle Experiment Scientist Garching Astronomy & Astrophysics Job Code: 16/2026 Job Offer from August 12, 2026 The Max Planck Institute for
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The High Energy Physics Division at Argonne National Laboratory (ANL) invites applications for a Postdoctoral Research Associate position to join our team working on the ATLAS experiment at the Large
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’ leave, a generous pension scheme, family-friendly policies, wellbeing support, and a range of travel, lifestyle and healthcare benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits for
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measurements with the ab initio and analytical strong-field theory developed by the UCL partner group, closing the loop between experiment and theory. Responsibilities Design, build, and operate
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/simulation of a groundbreaking experiment: the direct harvesting and extraction of quantum entanglement from the electromagnetic vacuum states. This is a design-phase experiment of the project, which
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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group working on the LHCb experiment at the Large Hadron Collider. The successful candidate will focus on developing LHCb’s real-time data analysis systems, including the GPU -based software
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) and structural engineering performance in spent fuel Bridge the gap between theory and experiment by integrating microstructural and experimental data into computational models to validate predictive