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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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engagement. Dr Galina Brychkova , School of Biological and Chemical Sciences, Professor Karyn Morrissey , J.E. Cairnes School of Business and Economics and Dr. Joy Clarke , Mushroom research programme at
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24 Jun 2026 Job Information Organisation/Company CNRS Department Biomécanique et Bioingénierie Research Field Engineering Physics » Acoustics Engineering » Materials engineering Researcher Profile
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
methodological research questions. Your tasks Develop independent scientific questions at the interface of imaging mass spectrometry, computational biology, and digital pathology Develop and validate computational
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Job description Do you want to contribute to the cutting edge research blending mobile computing, AI, dentistry and sleep sciences? Do you want to help in developing ultra light and ultra small and
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop
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at the intersection of AI, deep learning, computational neuroscience, and vision science. You'll develop biologically realistic neural networks to understand how individual differences in the brain shape perception
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https