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, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep
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or signal analysis • Programming in Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section
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in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and spoken English
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related quantitative subject. Essential/important: Evidence of strong quantitative skills and interest in computational modelling. Basic programming/scripting ability (e.g., Python, MATLAB, Julia, C/C
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, or computational social science Have good programming skills in at least one of: Python, Julia, Rust, C++ Be excited and inspired by the proposed project area Be a self-starter with a highly collaborative spirit
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Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX, or similar) Strong analytical and problem-solving skills Good written and verbal communication in English Experience in any
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with experimental research, data analysis, or programming (e.g. MATLAB, Python, or similar) is desirable but not essential. An essential requirement is enthusiasm to study the processes involved in human