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Field
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responsibilities will include: Develop Automated Workflows: Utilise Python scripting (or equivalent) to automate job preparation, submission, analysis, and visualisation for high-throughput quantum chemistry
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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Python, R, or similar Excellent analytical and problem-solving skills Ability to work both independently and collaboratively in a team Previous research experience and publication record in a related field
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and interpersonal skills. • Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.
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preceding the application date; Interest in causal inference, machine learning, and/or field experimentation will be highly valued; Basic skills in programming and data analysis (e.g., Python, R, SQL, PyTorch
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programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ). Proven publication track record would be an advantage. We regret
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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bachelor’s degree in Economics or a related field by the start date. Good knowledge of Stata and/or Python is preferred. For further information regarding the skills required for this role please see the
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) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development
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synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively