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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims at investigating
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Università degli Studi di Padova – Dipartimento TESAF (EU-CINEA LIFE23-GIC-IT-Life SVOLTA BLU) | Italy | 6 days ago
Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cardiovascular diseases are a major health
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that extend beyond traditional plant models. We are looking for a motivated, capable, and considerate postdoctoral scholar to join our team to together create a unique research program on the intersection
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state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational campaigns. Key responsibilities Design and execute in silico protein and
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Clurman lab (https://research.fredhutch.org/clurman/en.html works at the intersection of two
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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diffraction, modeling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7198-MELDOG-035/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut Jean
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity related to the project “Characterization
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution