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skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A certain affinity towards turning complex concepts into real-world practice is desired. The successful candidate is
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Aerospace Engineering, Aeronautics or a comparable degree, thorough knowledge of AI/ML methods, acoustics, and air traffic management are preferred, as well as excellent programming (Python, Java, C++, …) and
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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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; 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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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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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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software engineering skills in Python. Strong background and research experience in astrodynamics/orbit determination and numerical methods. Experience in usage of PRIDE data is a strong plus. Experience in
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structural mechanics. Be comfortable in at least one high-level programming language such as Python or Matlab. Be enthusiastic about interaction with Dutch industry partners to help realize and implement
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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and