356 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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iterations built into the project plan. Proposals are invited for LITE Accelerator Fellowships that support the University of Leeds student education priorities. As well as carrying out your project, you will
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be advantageous, but not essential, to have recent experience in one or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics
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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies
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are looking for people who can help us achieve our Strategic Plan , through the values we expect for our whole university community, of being Inclusive, Collaborative and Impactful. Discover why the university
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical analysis. About the
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. The emulator will be constrained by physical principles and capable of producing output fields near-identical to those of a large-scale ocean circulation model, at a fraction of the computational cost. Research
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. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical analysis. About the
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researchers with expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing
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To contribute to the development and integration of AI models in real-world systems with a geospatial component Essential Criteria PhD in a relevant environmental/ecological science or Computer Science or a