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, Anschutz Medical Campus. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital-based affiliates as well as the city and
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and chemical processes controlling organic carbon sequestration in the soil. Translate the basic scientific knowledge generate from the above-mentioned disciplines into sound management practices on how
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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23 Dec 2025 Job Information Organisation/Company University of Siegen Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009437 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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and teaching department. Research currently focuses on computational engineering, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
of Computing. Computing Foundations: software systems, programming languages, compilers, operating systems, software testing, software engineering, computer architecture, computer security, logic and
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. More information about the lab and their work can be found by visiting https://www.hhmi.umbc.edu . About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist
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Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will