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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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integration into neural circuits to result in functional, restored behaviour. We will use the fruit-fly Drosophila as a model organism for its powerful genetics and molecular cell biology (e.g. CRISPR/Cas9 gene
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converting a widespread pollutant, nitrate, to a valuable fertiliser and chemical feedstock, ammonia. Harnessing sunlight as an abundant and sustainable source of energy to drive the upcycling of waste
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dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing
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honours degree or a Masters qualification in ecology, marine biology, data science, environmental sciences, or related fields. Candidates with interdisciplinary backgrounds and strong quantitative skills
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should be made online . Under Campus, please select Loughborough and select Programme Ph.D. Sport, Exercise and Health Sciences (PSRP11). Please quote the advertised reference number SSEHS/CL26 in your
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profile We welcome applicants with backgrounds in computer science, applied mathematics, or engineering. Essential: strong Python, deep learning experience (PyTorch), and foundations in calculus/linear
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Engineering or Computer Science. We would also like to see experience in: Machine Learning, Optimisation, Python, finite elements How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and
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programme you are applying for. To Apply for this project please click on the following link - https://www.exeter.ac.uk/study/funding/award/?id=5733
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coordinator and Sheffield PI for the HE VIGLANT project. https://sheffield.ac.uk/cs/people/academic/carolina-scarton The School of Computer Science at the University of Sheffield is recognised for research