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- University of Amsterdam (UvA); Published 28 Nov ’25
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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
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or analytical skills, or a clear motivation to develop them further. You have experience in neuroimaging and brain network analysis. You have programming or data-analysis experience (e.g. FSL, Python, MATLAB, R
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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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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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interest in medical imaging, radiation safety, and AI. - Experience with Python, deep learning frameworks (PyTorch/TensorFlow), or image analysis (preferred). - Good communication skills and fluency in
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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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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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relevant to molecular and/or materials discovery, such as DFT, MD, and ML–based property prediction. Basic knowledge of physical chemistry, thermodynamics, or electrochemistry. Proficiency in Python and
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology
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programming skills (Matlab/Python etc.). Experience with Philips MR pulse programming is a plus. You like to work in a multidisciplinary environment. You are highly motivated and committed. You have a proven