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Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research
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computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more. The Assistant
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programmes, tutorials, hackathons and data study groups. 7. Advise on and develop plans to enable research colleagues to use high-performance computing facilities in the Schools, College, University and
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/graduate staff. Where to apply Website https://jobs.energy.imdea.org/en/offer/429 Requirements Research Field Other Education Level PhD or equivalent Skills/Qualifications PhD in Artificial Intelligence
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Scientific Computing (CASC) Division within the LLNL Computing Directorate. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 21 days ago
. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308534/phd-candidate-in-robotics… Requirements Research Field Computer science Education Level Master Degree or equivalent
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engineering, cloud/edge computing and databases. Successful candidates will be expected to develop externally sponsored research programs, supervise graduate students, engage in excellent teaching at the
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University of California, San Francisco | San Francisco, California | United States | about 11 hours ago
knowledge of web, application and data security concepts and methods - Familiarity with cloud-based computing and high-performance computing environments - Proven expertise, as reflected in publication
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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 an area
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, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud). An interest in learning