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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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will be provided): Either an excellent undergraduate degree or an MSc/MRes in Chemistry. Experience in materials synthesis, computational modelling and/or electrochemistry. Familiarity with analytical
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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in Geography, Environmental and Earth Sciences. This PhD scholarship is suitable for students with a background in oceanography/marine science, physics, physical/environmental sciences, mathematics
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with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Applications should be made through the RAINZ CDT website
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honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is
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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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valuable experience working in an interdisciplinary environment. Requirements: First-class or 2.1 honors degree (or international equivalent) in engineering, computer science, applied mathematics, or a
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Entry requirements Applicants should have a first or second-class UK honours degree or equivalent in a relevant discipline. This project would suit a student with engineering, physics, mathematics
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by