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of machine learning, computer science, physics, electrical engineering, neuromorphic engineering, or a similar field. You should have good communication skills in both spoken and written English and have the
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Mobility allowance - £5,507 per annum Family allowance - £6,058 per annum (if applicable) Full-time: 35 hours per week Fixed-term: 3 Years The Opportunity: This PhD position on Physical Properties
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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1st September 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human-AI Interaction and Learning Apply for this job See advertisement
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for physics beyond general relativity with gravitational-waves" (with Prof Eric Thrane) "Improving the sensitivity of gravitational-wave detectors" (with Prof Eric Thrane) web page For further details
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice