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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The proliferation of edge
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
and Computer Engineering (ECE) has a tenure-track Assistant or Associate Professor starting in August 2026 for position #001808. While candidates with expertise in all areas of electrical and computer
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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information at https://www.cs.pitt.edu/ . About the Positions Appointment Stream (Teaching Assistant Professor, Department of Computer Science, #27041) Appointment Stream (Teaching Assistant Professor
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(UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Advisory Service In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits The position is for a fixed term of 3 years. Pay in
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provides excellent high-performance computing facilities), Materials Research Institute, and the Clinical and Translational Sciences Institute. Faculty members in these positions will be expected to develop
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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. The Department of Neurosurgery
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programs. This position is ideal for an individual with a strong background in bioinformatics and hands-on experience with cloud computing and complex biological data. Key Responsibilities: Cloud Pipeline