87 computational-physics "https:" "https:" "https:" "https:" "Brookhaven National Laboratory" PhD scholarships at University of Nottingham
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Bachelor or Masters degree or international equivalent in computer science, artificial intelligence, or engineering (or related discipline). Studentships are open to home students only. Application Process
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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in Chemistry, Physics or related subject. The selected PhD candidate will work with Prof Elena Besley on computational modelling of next-generation semiconductors made from atomically thin materials in
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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theme of this PhD programme is to examine the interaction between health and modifiable risk factors, particularly physical activity and diet. Many health conditions are linked to modifiable risk factors
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degree (or equivalent if from other countries) in Chemistry, Physics, Mathematics, Computer Science or Natural Sciences or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a BSc
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degree (or equivalent if from other countries) in Chemistry, Physics, Mathematics, Computer Science or Natural Sciences or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a BSc
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for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites/cdtsustainablecompeng/ . Research focus areas: Mechanical Engineering, Civil Engineering, Aerospace
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in Chemistry, Physics or related subject. The selected PhD candidate will work with Prof Elena Besley on computational modelling of next-generation semiconductors made from atomically thin materials in