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of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
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Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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record of high-quality academic publications in the field of child language development; (e) be proficient in major programming languages commonly used in experimental linguistic research (e.g., R, MATLAB
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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drives, power converters, or real-time embedded controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied
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from a single cell to the mature blastocyst. This will involve a combination of computer simulation (e.g. in C++ or MATLAB) and mathematical analysis. As well as intrinsic interest in embryology
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programming skills are UNIX/LINUX, and programming languages such as Python, R or MATLAB. Role Summary Implement and test different ML architectures for postprocessing precipitation forecasts over India