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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are
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programming languages / environments, such as, Python, Rand experience working with High Performance Computing. Basic knowledge of machine-learning concepts (classification, regression, cross-validation
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Sciences) or Data Science (Bioinformatics, Computer Science, Data Science, Artificial Intelligence, Computational Biology) Experience with different programming languages / environments such as, R, Python
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in Python and affinity with large geospatial datasets. Interest in interdisciplinary research at the interface of geoscience, engineering, and societal impact. Good communication skills and willingness
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of practical interest, ideally with a focus on Intelligent Energy Systems. This should be demonstrated by a relevant MSc thesis or publications. Familiarity with good software engineering practices and Python
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programming skills in Python/C/C++ Good oral and written skills in English Enjoys working in an international and inter-disciplinary research group To thrive as a PhD candidate, it’s crucial to have a strong
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populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record and excellent
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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(e.g., Python, MATLAB, or similar). Excellent analytical, communication, and teamwork skills. A collaborative mindset and the ability to work in multidisciplinary and international teams. You are
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good written and spoken communication skills in English. Bonus points if you have: Programming experience Python or a similar language. Knowledge of open-source energy system modelling frameworks