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Field
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, the School of Computing and Information (SCI) is a growing interdisciplinary community of faculty, staff, and students who are accustomed to progressing through change, thinking beyond boundaries, and
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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computing, edge computing, distributed computing or cloud computing. Experience in real‑time applications and in developing research demonstrators is essential. You will be an effective communicator, able
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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the experimental design phase to ensure resulting data sets properly address research inquires. Oversight of computing clusters, either on campus, at remote sites, or in the cloud. Duties: Analyzes large data sets
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supporting physical interpretation of the measured processes. While the primary focus of the PhD is experimental, the student will gain experience working at the interface of experiment and high-fidelity
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month 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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trends . Basic Qualifications Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution. Post
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completion of your PhD programme) in computing, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in smart technologies in one of the areas
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, Epidemiology, Computer Science, or related field -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA