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campus IT partners. Key Responsibilities Architect, implement, administer, and optimize complex Linux systems, storage environments, virtualization platforms, and related infrastructure Plan and deploy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry out independent research and to work effectively in a collaborative team. Strong written and oral
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commitment to work-life balance and family-friendly programs for faculty and staff (https://provost.illinois.edu/faculty-affairs/work-life-balance/ ). Founded in 1867 as Illinois’s flagship public university
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information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . What we offer A doctoral research position in a timely and socially meaningful
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job funded through the EU Research Framework Programme? Other EU programme Reference Number BAP-2026-557 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands Type
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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of performance and power consumption. Design, model and evaluate new GPU architectures. Document, publish and present the results. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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programming in C/C++, preferably also Rust, and of POSIX, the Linux/Unix kernel or RTOS. Documented competence in parallel and distributed systems, including GPU programming (e.g. CUDA). Ability to explain