127 computer-programmer-"https:"-"https:"-"https:"-"https:"-"CNRS"-"Renault-Jean-Hugues" positions at University of Sheffield
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Overview Are you a skilled software engineer who loves solving complex integration challenges and building seamless system architectures? We have an exciting opportunity for you to join us as a
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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Developing Quantum Computing and AI tools for mRNA structure prediction School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Dr Oleksandr Kyriienko
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per annum. Potential to progress to £39,906 through sustained exceptional contribution Work arrangement Full-time Line manager Student Systems Team Leader Direct reports None Our website https
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confirmed following shortlisting. This will consist of a formal panel interview and a technical presentation outlining your previous computational modelling work. We plan to let candidates know if they have
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Overview We are seeking a Grade 7 Research Associate in Computer Science for a two-year post within CAPTURE-PH, a multi-centre programme using chest CT and artificial intelligence (AI) to improve
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, information-flow security, program logics, and neurosymbolic AI. The project is exceptionally well resourced, including substantial funding for access to state-of-the-art AI models and computing infrastructure
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, information-flow security, program logics, and neurosymbolic AI. The project is exceptionally well resourced, including substantial funding for access to state-of-the-art AI models and computing infrastructure
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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Overview This post will involve providing core data and analytics support to the ARIA Accelerated Adaptation programme, delivered jointly by the University of Sheffield (NEOF, based in the Genomics