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at https://marioskogias.github.io/ . What we are looking for: Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed
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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 | about 21 hours 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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The Department of Mechanics and Maritime Science at Chalmers University is currently offering a postdoctoral position focused on modeling and simulations of turbulent mixed-phase clouds
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 21 hours 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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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 21 hours ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Aerosol particles act as ice nucleating particles, providing surface for water vapour to deposit and freeze into ice
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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving