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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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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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, or similar; strong programming skills (Python or similar); affinity with spatiotemporal data analyses, remote sensing and numerical modelling; the ability to independently plan and organise the research, and
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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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skills in scientific programming and quantitative analysis, preferably in python; affinity with climate science and/or policy modelling; excellent written and verbal communication skills in English
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connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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for a candidate with: an MSc in computer science, artificial intelligence or a related field a creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning
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, (Computational) Epidemiology, Behavior Sciences or a related field; experience with programming and modelling (e.g., Python, R, NetLogo, AnyLogic, or similar); a strong interest in urban health, physical activity