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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10411 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be hosted by Inria
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? Job description If this question sparks your interest and you are motivated to pursue a PhD in circular consumption niches and the transition to circular consumption, you might be our new colleague
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30.08.2026, Academic staff For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and methodological
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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screening and eligibility requirements, … Where to apply Website https://www.academictransfer.com/en/jobs/363367/phd-in-multiscale-modeling-of-s… Requirements Additional Information Website for additional job
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Chemistry, Pharmacy, Biochemistry, or related disciplines. Master's degree granting access to a PhD programme. Previous experience in molecular modelling, computational chemistry, computer-aided drug design
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We seek a research assistant for a 9-month position, primarily focused on preparing for and, if possible, progressing into a fully funded 3-year PhD fellowship as part of the Novo Nordisk Fonden
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no less than 5.5 in any band or equivalent). How to Apply Applicants should upload information via Birmingham’s Mechanical Engineering PhD portal here: https://www.birmingham.ac.uk/study/postgraduate
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28 Jul 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 27 Aug 2026 - 23:59
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is seeking a PhD student to join an ongoing Royal Society–Research Ireland University Research Fellowship project focused on Machine Learning for the Design of Additively Manufactured Two-Phase Heat