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Job Description Apply now Senior Executive, Space Management Services & Projects University-Level Unit: School of Computing Faculty/Department-Level Unit: Dean's Office (School of Computing) Employee
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Skip to main content Home Login Register Jobs Home Current Vacancies How to Apply FAQ Contact Us Terms of Use Contact Us Cookies Accessibility Research Fellow in Analog Computing for Advanced
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(Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment. Skilled in
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, and processor pipelines • Experience with GPU programming or parallel computing (CUDA, OpenCL, OpenMP) • Familiarity with systems engineering practices and requirements development • Experience with
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | about 1 month ago
create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures
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nodes including parallel filesystems and high-performance network. This is partly technical and partly people leading role which involves supervision of 3-4 experienced HPC system administrators. The
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, and reproducible code development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to
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respect to Elders past and present. Lead the design, delivery and strategic direction of the University of Tasmania's next-generation High-Performance Computing (HPC) and research data storage
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und Stellenangebote > Academic staff > Research Associate/ Postdoc (m/w/d) for Project “Storage as a Sustainability Enabler through Optimization, Machine Learning and High Performance Computing” Back
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Computing” Back to News Board Browse in News Research Associate/ Doctoral Candidate (m/w/d) for Project “Storage as a Sustainability Enabler through Optimization, Machine Learning and High