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, programming competence for research (e.g., Python and/or MATLAB and reproducible workflows), and the ability to design and execute rigorous computational experiments. Familiarity with optimisation, networks
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one of the following topics will be a plus: Working knowledge of MATLAB/Python and signal processing Basic understanding of electromagnetics Experience with CAD and mechanical design How to apply
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candidate should have strong programming skills, particularly in Python, and experience with machine learning algorithms suited for cloud-edge, mobile, or IoT environments. Experience in prototyping and
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conducting experiments, programming experimental tasks in platforms such as oTree, analysing experimental data using statistical and econometric software (e.g., Python, R, Stata), and reporting experimental
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Applicants with an interest in human
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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
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have experience with the usual tools for advanced experiments: programming experience: Matlab, Python, LaTeX. You have excellent command of written and spoken English. What we offer: Inspiring working
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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programming (e.g. Python, R, MATLAB or similar), data analysis or experimental research are encouraged to apply; however, we equally value potential, creativity and a thoughtful approach to problem-solving. We
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent