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University, LSE, University of Liverpool, University of Manchester, Monash University, Oxford University, and Warwick University. Eligibilities: Eligibility for this studentship will include Home and Overseas
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strong foundation in programming (e.g. Python) and core concepts in machine learning or data analysis. Ability to engage with research literature and develop analytical, problem-solving, and algorithmic
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. Knowledge of fluid mechanics or CFD is essential. Experience in programming (Fortran/C++/Python) and knowledge of acoustics and solid mechanics would be desirable. To apply, please provide a cover letter
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. Experience in programming (Fortran/C++/Python) would be an advantage. Funding Details Stipend of £20,780 + Tuition fee + funding for training and conferences
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programming skills (e.g., Python, MATLAB, C++) and an aptitude for mathematical modelling are desirable. The successful candidate will be keen to work across theory, modelling, and simulation, contributing
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skills are also highly desirable: Ability to program in Matlab, python or similar Strong laboratory-based skills Application Procedure Informal enquiries are encouraged and should be addressed to Prof
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) numerical analysis and real or elementary functional analysis; (b) probability theory; (c) implementation of computational methods using, for example, Julia or Python. To apply, please contact the main
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow
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experience with experimental design, eye-tracking, data analysis, and coding (e.g., R, Matlab, Python) are highly desirable but not essential. The project will be supervised by Dr George Malcolm and the
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experimental optics and quantum photonics, and specific skills in programming (e.g., python). The project will be co-supervised by Prof. Simon Horsley (an expert in quantum theory) and Dr Callum Jones (with