125 python "Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa" positions in Netherlands
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- University of Amsterdam (UvA); Published 5 Dec ’25
- University of Amsterdam (UvA); Published yesterday
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interpreting complex datasets; experience with R or Python for (omics) analysis is a plus. Collaborative and organized – You manage complex experimental timelines and thrive in a multidisciplinary consortium
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with numerical modelling, preferably glacier modelling; strong programming skills (e.g., Python, MATLAB, Fortran); experience with processing large scale datasets from remote sensing products and models
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methods, including experimental methods; programming skills (in particular using Python) are recommended Furthermore your suitability is ideally exemplified by if you: Have Interest in theoretical questions
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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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). Quantitative Skills: An affinity with quantitative methods, mathematical modelling, simulation, or data analysis. Experience with tools such as R or Python for modelling is an advantage. Resilience and
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and transport in porous media; Strong analytical skills and ability to integrate experimental observations with computational approaches; Proficiency in at least one programming language (Python, MATLAB
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Advanced proficiency in Python and C programming languages You should also have good interpersonal and communication skills and should be able to work in a multi-cultural environment, both independently and
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quantitative methodological skills, for instance knowledge of (spatial) data analysis, hydrological modelling, AI-based methods Experience with programming languages (e.g. Python) Motivation to cooperate in a
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quantitative data analysis using R and/or Python; experience with statistical modelling and the analysis of complex biological data; a strong interest in exposomics, multi-omics integration, and brain–body