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programming skills (C++, R, Python, or similar). Experience working with large or longitudinal datasets. The ability to translate complex model outputs into actionable policy insights. Curiosity, independence
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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analysis using tools such as Python, MATLAB or LabVIEW. Analytical and problem-solving skills with attention to accuracy and detail. Ability to plan, organise and manage experimental work in a laboratory
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have strong proficiency in high-level programming (particularly in Python) and be confident working with large, high-dimensional datasets. You will be passionate about scientific innovation and discovery
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of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience on operating dilution refrigerators is
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independently and familiarity with recent relevant scientific literature. programming skills in at least one of the following (LabVIEW, Python, MATLAB or C++). Please ensure you read the Job Description and
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/Robotics or a closely related discipline. You will have an extensive background in coding (e.g., python, C++) and have some works published in top-tier conferences/journals. Candidate must have prior work
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous