583 computer-science-programming-languages-"St"-"St" positions at University of Sheffield
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Materials at Sheffield (SMASH) research team in the School of Chemical, Materials, and Biological Engineering. This project constitutes part of the 5-year BuildZero programme , a £6 million project funded by
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Data Driven Modelling, Machine Learning, Applied Mathematics/ Statistics, or related engineering and computing fields (or have equivalent experience) Essential Application Strong background in data
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programming language (assessed at: Application form/Interview) Essential Application and Interview Experience with laboratory work and good understanding of acoustic sensor technology (assessed at: Application
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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The green industrial futures
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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: Both carbon removal
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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complex specifications using using query languages such as SQL (Application / Interview) ● Experience in data cleaning and linkage of datasets in a programming language (R or Python) (Application
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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ideal opportunity to join international research programme bridging across disciplines between soil science, analytical chemistry, and geobiology. The post will contribute to the strategic goals
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or upper second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer science