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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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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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programming skills in Python • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanor • Fluency in English Any of the following will be a plus: • Experience developing
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part of the project, and hence skills in computations and implementation (via codes written in open source software, such as R, Python, ...) are a plus. A good knowledge of written and spoken English is
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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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