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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 21 days ago
macromolecular dynamics, as well as collaborations with the European MDDB initiative. The candidate will develop new graph transformer architectures to learn conformational heterogeneity from molecular dynamics
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working on robust methods for statistical learning
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is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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Sciences WGSSS collaborative ESRC DTP studentship in the Environment and Planning Pathway, starting in October 2026. This PhD, within the Environmental Planning pathway, is entitled: Citizen Science Across
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of machine learning, and/or ecological modelling. Excellent oral and written English language skills. Strong collaborative skills, team spirit and the ability to also work independently. Experience with field
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teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development
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(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
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actionable battery diagnostics. The project is carried out in close collaboration with leading industrial partners, including Husqvarna Group and Toyota Material Handling Europe, together with the technology
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–liquid interfaces through an integrated approach combining atomistic (DFT, AIMD, MD), and continuum (FEM) Modelling, supported by machine learning frameworks. Key responsibilities: • Perform DFT/AIMD