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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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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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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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in Python or R, particularly in the domains of law and sustainability, and will have a practical understanding of building text mining pipelines for potentially messy real-world data. Knowledge
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; programming experience (e.g. Matlab, R, Python, or C++); experience with biomedical and dynamic systems models and advanced biomedical signal analysis; affinity to the clinical application of neurotechnology; a
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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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—including generative models and modern machine learning approaches—programming (especially Python), and large-scale systems design for various bachelor’s and master's programmes in Business Analytics
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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
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Excellent software engineering skills in Python Fluent in English, both written and spoken This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial