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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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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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, 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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consultants, electrical service upgrades to several buildings, and code upgrades in multiple buildings. Responsibilities within projects may include, but are not limited to, arranging service and utility shut