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- University of Amsterdam (UvA); Published 28 Nov ’25
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, or energy storage technologies Proficiency in programming languages such as Python, MATLAB, or similar tools A research-oriented attitude Ability to work in an interdisciplinary team and interested in
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of the environments. A research-oriented attitude. Solid programming knowledge (Python, and preferably web development languages), and some experience with ABM or willing to learn ABM is a plus A good understanding of
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with low-data, sparse, or noisy datasets, typical in early-stage drug discovery. Technical skills: Proficiency in Python (required). Practical experience with machine learning or deep learning workflows
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, biomedical sciences, immunology, or related disciplines. Demonstrated experience with coding and bioinformatic analyses of transcriptomic and/or imaging data is essential. Knowledge of Python or R is preferred
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equations numerically Experience with programming (C, C++, Python, Matlab or alike) Creative pro-active team player with good analytical skills A research-oriented attitude Ability to work in an
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willingness to learn Dutch. We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine
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(e.g. Industrial Ecology, Ecological Economics, Geography) Good or excellent programming skills for data analysis (experience in Python or R is preferred) Experience with input-output analysis is
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field. Strong background in finite element analysis and topology optimizatoin. Experience with programming in Python and/or Julia. Interest in biomechanics, finite element analysis, topology optimization
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team