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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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physical techniques eg laser and optical instrumentation; computational/numerical modelling programming skills eg Python, FORTRAN, C++. Eligibility Open to both UK and International applicants, including EU
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, MATLAB/Python programming. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Shahzad Gishkori Eligibility
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related discipline. Good programming skills (e.g., Python, PyTorch, TensorFlow). A genuine interest in pushing the boundaries of efficient and deployable AI. Prior research experience (e.g., project work
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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developer and user meetings. You will acquire skills in programming (e.g. Python, FORTRAN, bash) development of quantum chemistry software and stand-alone tools a wide range of computational and quantum
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discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow). Demonstrated knowledge of multimodal data processing (e.g., vision, language, audio) and machine learning techniques
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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teaching assistantship. The ideal candidate will have a strong foundation in Python programming and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Applicants with a