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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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process. You should also have: Competences in the field of mechanics, fluid-dynamics, electronics as well as coding (Python) are appreciated. Diversity, Equity and Inclusiveness ESA is an equal opportunity
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; experience in either is a plus, not a must. Strong motivation to advance data analysis or modeling is essential. Proficiency in scientific programming (e.g., Python, Fortran), version control, and reproducible
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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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that connects engineering and clinical application. You have programming experience in Python, MATLAB, or similar languages. You are motivated, collaborative, and communicative. Additional Information Benefits
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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