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Field
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is Computing Continuum (Cloud To Edge), which addresses activities related to the orchestration of distributed resources in heterogeneous environments (HPC/Cloud/EDGE) with a focus on the use of energy
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About the role: This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction
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Federated Cloud Computing ( HCC ) We invite applications for a fully-funded 3-year PhD position on the topic of usable decentralization, i.e. on making distributed and federated cloud services accessible
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 6 days ago
realism of model results using theoretical understanding, physical models, and observations Use the model to investigate the behaviour of Arctic clouds in current and future climates Your Profile PhD in
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Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed systems, cloud computing. Research Assistant: A strong Master’s degree in
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or an equivalent foreign degree in Mechanical Eng., Naval/Maritime Eng., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 7 days 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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., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility requirement must be met no later than the time the employment decision is made
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 19 hours ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 6 days ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning