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and animal-based models R or Python programming expertise is a plus, but not mandatory Excellent oral and written English language skills History of manuscript productivity is needed to be a competitive
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, and how to use them. Evidence of driving innovative science, including publication in high quality scientific journals. Knowledge of programming tools/languages, such as R/Python. Solid understanding
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interpersonal skills with the highest ethical standards. You may also have Expertise in functional genomics data analysis. Scientific programming skills, including knowledge of R, Bash and Python languages
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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with programming languages appropriate to the projects (e.g., python, C, and/or c-sharp, as well as sql languages). Expertise with building and maintaining software systems. Familiarity with
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statistical software (e.g., R/Python/Matlab) Writing sample At least 1 reference who can speak to your research skills Additional Qualifications Topical exposure/interest in development economics Experience
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background in at least two of the following fields: computational physics, porous media physics, statistical physics. Experience with programming language (e.g., Matlab, Python) Fluent oral and written
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causal inference; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python
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UNIX/Linux interface and basic programming (e.g. Python) is a requirement. Experience with machine learning is an advantage. Experience from free energy calculations is an advantage. Applicants must be