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8 Nov 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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). Strong academic background and competencies in parallel programming, distributed computing, and performance engineering. Familiarity with accelerator programming (e.g, GPU), hardware programming, high
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of organic chemistry (Faculty of Science) at Charles
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user support. Familiarity with scientific software, Linux systems, and parallel computing frameworks. Special Requirements: Q or L Clearance: This position requires the ability to obtain and maintain
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Requisition Id 15601 Overview: The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring Senior Research Scientist to push the frontier
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 22 days ago
, embeddings with transformers, training with flow matching) and high performance computing (e.g. handling large-scale parallel simulators, multi-node and GPU training on large supercomputers). When considering