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inference. For Position 1, experience with LSS simulations and analysis, and ideally galaxy redshift surveys and HPC. For Position 2, experience with gamma-ray data analysis and its astrophysical
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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
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, and computational documentation. Performs large-scale data processing using high-performance computing (HPC) and cloud-based computational resources, when appropriate. Performs multivariable regression
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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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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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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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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