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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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basic science with biotech applications and combines rich functional assays with cutting-edge computational biology. Our method relies on aptamer-based sensors to recognise each specific metabolite target
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full aircraft engine, running on the UK’s supercomputing services. There will be both engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 28 days ago
fellowship Job Status Full-time Hours Per Week 35 Offer Starting Date 27 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI
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and Prof. Tero Heikkilä at Jyväskylä University. In parallel, the NANO group is pursuing work on fractional Chern insulator in twisted TMD materials. Since there is clear synergy between twisted
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School of Science, in collaboration with the groups in the National Center of Excellence QTF - Quantum Technology Finland, and the theory groups of Prof. Päivi Törmä at Aalto University and Prof. Tero
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance