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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
12 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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windows in development Optimizing intervention strategies through computational experimentation Collaborating with experimental and clinical research partners Contributing to scientific publications and
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Systems-level understanding of XR pipelines, including sensing, perception, networking, and/or edge/cloud computing Ability to design and optimize end-to-end XR systems (rather than relying solely on off
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. Good report writing and presentation skills Good analytical skills and computer skills. An ability to work independently to a tight schedule. Experience of bacterial growth and optimizing growth media
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Application Deadline 20 Apr 2026 - 11:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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2 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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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 The postdoctoral researcher will join the Institut des Matériaux de Nantes
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and