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radar control, data acquisition, and visualisation systems. You'll dive into radar signal processing, tackling high-throughput and parallel data challenges using technologies like CUDA and OpenCL. You’ll
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components of key US cross-agency data and AI for Science efforts and initiatives. We seek a candidate with specialized knowledge developing scalable and robust computer systems, working with high performance
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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manuals, and code regulations. This class is the first journeyman level position of this series. The HVAC Mechanic class involves full responsibility for the performance of the more advanced HVAC tasks
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
the Inria website. Processing of applications submitted via other channels is not guaranteed. Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2025-09481 Work Location(s
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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University of California, San Francisco | San Francisco, California | United States | about 2 hours ago
on of effective approaches. This specialist may be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment
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Gaussian Process Regression Generalizes Linear PDE Solvers“, Apr. 2024, Preprint, https://arxiv.org/abs/2212.12474
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Title: Open Rank Assistant to Associate Professor – Adult Orthopedic Spine Surgeon – Highlands Ranch Position #00842930 – Requisition #38429 Job Summary: The Department of Orthopedic Surgery at
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results by 15 January 2026. Founding Source: Project „Dynamics of processes around compact stars” is funded by NCN (contract number: 2023/50/A/ST9/00527). Project website: https://ra.cft.edu.pl/ About us