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a completed or in-progress Ph.D Good knowledge of quantitative research methods and data in the social sciences, and statistical programs for handling them (e.g., Python, R, and Stata) Experience
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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and scored: A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each
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Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each course) and accredited project
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competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a requirement. The applicant must be able
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, for that reason you need to fullfill the following requirements: Have good understanding in hydrological and hydraulic processes with relevance for irrigation and drainage Have knowledge in programming in R and
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, R) and data visualization techniques Previous experience working in a research laboratory setting, preferably in pediatrics or related fields. Equal Employment Opportunity Statement All qualified
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(s):•Iscte: Prof. L. Cancela M13-15 (3 months duration) “Development of models for the evaluation of MCF specific transmission effects”•IT: Dr. R. Nogueira M20-21 (2 months duration) “Training
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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. Application sent directly to this e-mail will not be considered. Closing Date: 09 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham