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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science This Ph.D. project will develop fundamental theory and methods in distributed systems
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in High-Performance Computing Apply
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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distribution contribute to our operations. We have chosen media for this recruitment and therefore we reject contact with advertisers or sellers of recruitment services. URL to this page https://web106
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cortex. Neurobiology of Learning and Memory https://doi.org/10.1016/j.nlm.2021.107525 Defining the sensory neuron response to nerve injury Supervisors: Dr Greg Weir A PhD position is available in
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Program Director and distribute updated program policies · Plan, coordinate, order, obtain for new fellows; I9 compliance documentation; ID badges, Badge access, and parking at all training sites
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, nuclear and biomedical fusion through the experimental laboratories of rapid prototyping, biomedical and photonics. In the field of High Performance Computing (HPC), activities related to parallel
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and