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exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
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in geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., matlab, phyton, C/C++) and parallel
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, multi-user software, and distributed or parallel computing is an asset. The ideal candidate should be well-versed with the fundamentals and state-of-the-art of EEG and MEG signal processing. Other
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languages. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools, and parallel visualization software. Preferred Qualifications: Excellent
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applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job
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Software testing Algorithm development Advanced programming topics (graphics, AI, compiler, parallel programming) Web development Educational Requirements: Master's degree in computer science or relevant
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About us The UCL Centre for Advanced Research Computing (ARC) is UCL’s new institute for infrastructure and innovation in digital research - the supercomputers, datasets, software and people
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) and specifically to the Family Health Center (FHC). The Data Analyst implements the FHC quality improvement (QI) program in consultation with the FHC medical director team and related departmental
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, and management of HPC systems within a classified environment. We are looking for candidates with extensive experience in HPC architecture, cluster management, and parallel computing, with a proven
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of the project stands on the fact that activity recording data are collected and integrated in the model from multiple experimental sources, in the hope to exploit the full power of computational modelling to span