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Field
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datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems
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leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and machine
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, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
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, including common single-cell analysis toolkits, and experience working in high-performance computing (HPC) environments. Experience with flow cytometry and standard molecular and cell biology techniques (e.g
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establish a research profile. Develop and execute innovative research projects. Develop, train, and evaluate modern machine-learning models on GPU/HPC infrastructure. Integrate AI methods with scientific
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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or expected to be completed within the next six months. Experience in ecological modelling and/or Land Surface Modelling Knowledge and experience working in HPC environment. Programming experience in Fortran
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research and education, in the development and use of computing. - home to the largest and fastest HPC infrastructure in Africa named “TOUBKAL”. Job Description: The postdoctoral researcher will contribute
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, and translational proteomics. Markku Varjosalo serves as Scientific Director of the Helsinki Proteomics Center (HPC), Finland's national proteomics infrastructure. Our research group is located next
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implementation of 4D-Var variational data assimilation techniques using observational data, including ROMS 4D-Var or a comparable system. Experience with large-scale HPC workflows, collaborative scientific