129 parallel-programming-"Multiple"-"Simons-Foundation"-"EURAXESS"-"Humboldt-Stiftung-Foundation" positions in United States
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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We are seeking an Electric Shop Supervisor who will plan, assign, and inspect the work of approximately 10 bargaining unit electricians responsible for the installation, testing, maintenance, and
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State University of New York University at Albany | Albany, New York | United States | about 3 hours ago
transformative paradigm. By taking advantage of qubits' ability to exist in multiple states simultaneously and exploiting the probabilistic and delocalized behaviors of quantum systems, quantum computing promises
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cultivation of the beneficial microbes of the human microbiome. This work involves the use of parallel plating in microtiter wells of combinations of nutrients and bacterial cells, using multiplate readers
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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with environment, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors
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software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking
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Stanford's Graduate School of Business (GSB) has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning