34 computer-science-programming-languages-"the"-"IDAEA-CSIC"-"Prof.-Dr" positions at University of Sheffield
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engineering. Recent advances in large language models (LLMs), such as ChatGPT, GitHub Copilot, and similar systems, have shown that these models can generate computer code from short pieces of text (i.e
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and York and the UK Centre for Ecology and Hydrology, ECOSOLUTIONS is a cutting-edge, transdisciplinary initiative. This innovative programme combines science, policy, and societal engagement
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are rated as 8th nationally for the quality of our research environment, showing that the School of Computer Science is a vibrant and progressive place to undertake research. Natural Language Processing Group
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engineering. Excellent mathematical background and strong programming skills. Knowledge of theoretical machine learning and Python is highly desirable. If English is not your first language, you must have an
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Computer Science. If English isn’t your first language, you’ll need an overall IELTS score of 6.5 with at least 6.0 in each section Interested? Contact Pete Crawforth (p.crawforth@sheffield.ac.uk) for more
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science or engineering subject such as Mechanical Engineering, Aerospace Engineering, Materials Science, Physics, Electrical and Electronic Engineering or Computer Science. If English isn’t your first
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Sellafield Ltd, and be part of a comprehensive doctoral training programme in this area at The University of Sheffield, led by the primary supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and
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intersection of biological and computer science research domains. Applicants must hold a PhD (or equivalent experience) in a relevant subject area along with an interest in biodiversity, evolution, neuroscience
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Engineer (CEng) status, ensuring you’re recognised for your professional expertise. Entry Requirements: A first-class or strong 2:1 degree in a relevant science or engineering subject such as Computer Science
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engineering or bioengineering. - Proficiency in image processing techniques, finite element analysis software (e.g., Abaqus, Ansys), and programming languages such as Python and Matlab. - Strong analytical and