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your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
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environmental stressors, in particular heat, and patterns of violence in the UK. This project will largely use quantitative methods to explore the relationship between climate change and violence. A key component
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defined by Swansea University) in Engineering, physical sciences or similar relevant science discipline. We also welcome applications from graduates in computational science or mathematics. Note for
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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Applied Mathematics Why This Matters The world is moving rapidly toward renewable energy. Hydrogen is at the forefront as a clean fuel, but its safe storage and use at high pressures require advanced
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, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility This studentship is suitable
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requirements can be found on our Country Specific Entry Requirements page. Candidates with qualifications in mathematics / computer science & a health-related discipline are particularly encouraged to apply
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship
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CDT and addresses both national and international health priorities in developing fair and inclusive systems for real-world applications. Please see details on how to apply: Apply - EPSRC CDT Sound