71 computational-physics "https:" "https:" "https:" "https:" "IFM" PhD positions at University of Nottingham
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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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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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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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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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process: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Entry Requirements: Applicants are normally expected to hold a 2:1 Bachelor’s degree or Master’s
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Science, Nutrition, Psychology, Computer Science, Human–Computer Interaction, Data Science, Biology, Chemistry, Physics, Bioscience or related fields. As the project involves collecting data directly from
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Science, Nutrition, Psychology, Computer Science, Human–Computer Interaction, Data Science, Biology, Chemistry, Physics, Bioscience or related fields. As the project involves collecting data directly from
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engineering, physics, or a closely related discipline. Candidates with a strong 2:1 degree may also be considered, as well as applicants with equivalent overseas qualifications. Applications should be submitted
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics