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- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
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programming languages such as R or Python, or familiarity with other computational tools relevant to genomic and transcriptomic data, or a strong aptitude in developing these skills is essential. Personal
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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perturbations, and climate change (shown by a relevant master research project experience or courses); strong analytical skills; excellent communication skills; fluency in the use of Python or a similar
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, particularly in Python and ML-related libraries, are required. Furthermore, you are highly motivated to pursue academic research and you are fluent in English, both written and spoken. Additional Information
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or neuroimaging data analysis. Skills in statistics, programming (R, Python, or MATLAB), and preferably familiarity with MRI (ASL, QSM) or biomarker research. Strong motivation to work across disciplines and
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methodological development. Be comfortable with Python or similar programming languages (e.g., for use with the Brightways LCA modelling software). Enjoy thinking creatively to find unconventional solutions
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written and spoken, in an international academic context. Technically skilled – You bring programming experience in Python and C++ or equivalent languages. What we offer At Maastricht University, you’ll
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Demonstrated excellent experimental and analytical skills Basic command of programming (Python). Knowledge of thin film deposition and characterization techniques is a pre. Good communication skills Able to work
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the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general-purpose programming languages, for example Python, and general
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for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in