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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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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | 3 months ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Au cours de la dernière décennie, les observations de
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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), and the Wigner Laser and Spectroscopy Centre. Large‑scale computational and data capabilities are provided by the Wigner Data Centre – among others hosting HUN-REN’s computing cloud. Together
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leadership in digital research infrastructure or digital technologies, with a mandatory PhD or equivalent Extensive expertise across cloud computing, HPC, research data management, and cybersecurity A
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promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in
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, experience and expertise are required: A PhD or equivalent e.g. a master’s degree with several years of working experience in natural sciences, computational sciences, engineering or mathematics. Experience in
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, Model Serving/Inference, and Monitoring. Technology Selection: Evaluate, select, and integrate appropriate cloud-native services (AWS, Azure, or GCP), hybrid and on-prem computing resources, and open