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), chemistry, statistics, biochemistry or a related discipline Have expertise in programming and quantitative data analysis, including machine learning in a software such as R/Python Have a developing ability to
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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track-record conducting research using large-scale routine or registry data, preferably in cancer High-level proficiency and experience in R, Stata, or Python, with demonstrable experience applying open
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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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or Python. How to apply Candidates should apply online, carefully answer all the application form questions, and attach a curriculum vitae (with details on education, research experiences, successes and the
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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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. Experience in developing xApps and rApps is an advantage. Proficiency in Linux system administration, virtualization (Docker/Kubernetes), and scripting (Python, Bash). Strong programming skills in Python or C
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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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