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Postdoctoral Research Associate on Integrated Approach to Computational Complexity Fixed term contract for 1 year Grade 07RS: £38,674-£46,913 per annum inclusive of Oxford University weighting We
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meetings, progress reports, conferences, seminars, symposia, and assist in drafting relevant publications and grant proposals. The candidate must be proficient in standard computer skills relevant to the job
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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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2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number WB-KG-13/2026 Is the Job related to staff position within a Research Infrastructure? No
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
the Department of Physical Medicine and Rehabilitation is seeking qualified candidates for a Postdoctoral fellowship. The goal of this T32 training program is to cultivate diverse, well-trained, independent
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9 Aug 2026 Job Information Organisation/Company CNRS Department Laboratoire de Réactivité de Surface Research Field Chemistry Physics Researcher Profile Recognised Researcher (R2) Application
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 11 days ago
Researcher (R3) Application Deadline 13 Oct 2026 - 08:07 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large-scale datasets, including UK Biobank (UKBB
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, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated