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Link to USC Market Title https://uscjobs.sc.edu/titles/186478 Job Level E0 - Directors and Executives Business Title (Internal Title) Director of Enterprise AI Development Campus Columbia Work County
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for a PhD position at Uppsala University. The research conducted at the Department of Physics and Astronomy encompasses a wide range of physics topics, distributed over nine divisions. The department is
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operational support for academic systems, administrative systems, and research computing. The Computing and Storage team designs, implements, and operates enterprise-level virtual and physical servers, as well
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Observatory and the Pacific Northwest Seismic Network. The person in this position will have access to many resources including: Access to petascale computing and cloud-based infrastructure. A state-of-the-art
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, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | about 1 month ago
seeking a Researcher to work within the Research Department of the “CoE MARBLE – Centre of Excellence in Maritime Robotics and Technologies for Sustainable Blue Economy” ( https://www.marble.eu
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-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab, including
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verteilten Systemen (Distributed Settings). Vertrautheit mit Cluster-Computing-Umgebungen (z. B. SLURM) und Linux-basierten Workflows. Bisherige Erfahrung in einem Forschungslabor, einschließlich Beiträgen zu
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structures for devised and collectively created work, where authorship and decision-making are distributed rather than script-first Sound and Media Design as Producing Practice sound design
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
learning, large language models, or reinforcement learning. Familiarity with high-performance computing environments (e.g., GPUs, distributed training). Experience mentoring graduate or undergraduate