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workflows, including parallel and distributed applications, data-intensive pipelines, and accelerator-enabled workloads. Work closely with system administrators, infrastructure engineers, and researchers
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. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally
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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
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systems and solutions. Familiarity with parallel computing, distributed systems, and cloud integration. COMMITMENT to DIVERSITY and CAMPUS VALUES A successful candidate will support diversity, equity
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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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research interest include, but are not limited to, numerical algorithms and high-performance scientific software; parallel and distributed computing; performance analysis, modeling, and benchmarking
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would represent pluses: Advanced degree Experience with provisioning tools (warewulf), real-time monitoring tools (OpenXDMod), distributed and parallel file systems (CEPHFS, NFS, Lustre, BeeGFS), and
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higheredjobs | 26 days ago
cyberinfrastructure within an academic setting Experience with designing and implementing HPC systems and solutions. Familiarity with parallel computing, distributed systems, and cloud integration. COMMITMENT
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
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, business continuity, cyber resilience, and data protection frameworks. Experience supporting GPU computing, distributed AI training, and large-scale analytics platforms. Compensation In recognition