126 parallel-and-distributed-computing positions

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  • The University of Chicago | Chicago, Illinois | United States | 2 months ago

    Qualifications Experience: Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience working with high performance computers (e.g., parallelizing and

  • The University of Chicago | Chicago, Illinois | United States | about 1 month ago

    destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research

  • Harvard University | Cambridge, Massachusetts | United States | about 2 months ago

    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

  • Northeastern University | Boston, Massachusetts | United States | about 2 months ago

    programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers

  • University of Glasgow | Glasgow, Scotland | United Kingdom | about 1 hour ago

    detection model to a more flexible unequal-variance model  in a hierarchical Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques

  • University of Glasgow | Glasgow, Scotland | United Kingdom | about 1 hour ago

    well as community function, to be investigated in parallel. Standard geochemical analyses will be simultaneously performed to investigate interactions between the major nutrient cycles, and their impact on

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