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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 10 hours ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact
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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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thérapeutiques sont très sensibles aux conditions environnementales (température, contraintes mécaniques, humidité) et particulièrement à la pression en raison du rôle des interactions faibles intermoléculaires
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interdisciplinary environment at the interface of computational chemistry, biophysics, and pharmacology. Further information on the group’s research activities and publications is available at: https
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to apply Website https://www.jobbnorge.no/en/available-jobs/job/297933/phd-candidate-in-ai-nativ… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Research
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. First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https://www.sheffield.ac.uk/postgraduate
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on biosafety and the management of infectious diseases in island ecosystems in the southern polar zone, using an approach at the interface between social anthropology and the ecology of infectious diseases
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IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université | Marseille, Provence Alpes Cote d Azur | France | 14 days ago
-liquid interface, as well as with other crystal defects, are therefore major questions that the PhD student will study during his/her doctorate. Other key questions arise with the evolution
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 17 hours ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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interactions at interfaces, you will develop a comprehensive predictive model describing the strength of binding, conformations and behaviour of surface-active agents at interfaces that will enable the de novo