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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months 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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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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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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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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researchers with expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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-Walls Centre – as well as Quantum Technologies Aotearoa (QTA), a national multi-institutional research programme. The Department also has particular strengths in affiliated areas through multiple active
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21 Nov 2025 Job Information Organisation/Company University of Beira Interior Department Informatics Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials