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experiences in simulation-based experiments in networking research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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(MATLAB, Python, and LabVIEW) are welcome. Priority will be given to applicants with a proven record of cross-disciplinary research. Good communication skills and demonstrable capabilities to work
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programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG, breathing, HRV, tactile interfaces), and comfort
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publications and/or dissertation or equivalent evidence of expertise and completed research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python
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research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills
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will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
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relevant analysis methodologies. Essential Application/Interview Experience of quantitative data analysis using appropriate software (e.g., R, Stata, Python). Essential Application Dissemination of research