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, artificial intelligence, computer networks, graphics, parallel and distributed systems, mobile systems, machine learning, Cybersecurity and secure computing, data science and AI, and theory. Our faculty are
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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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, laboratory meetings, as well as at workshops and conferences covering the various aspects of the thesis: high-performance computing, numerical methods, and computational cosmology. An annual meeting of
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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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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 4 days ago
has been significant progress in quantum computing, on both the theoretical and practical sides. The first experimental demonstrations of quantum error correction provide evidence that large-scale
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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
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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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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 16 days 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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learning quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and