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; experience in either is a plus, not a must. Strong motivation to advance data analysis or modeling is essential. Proficiency in scientific programming (e.g., Python, Fortran), version control, and reproducible
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. This position will be part of the Environmental Psychology research group (see https://env-psy.univie.ac.at/about-us/) and will be supervised by Profs Sabine Pahl and Alexandra Brausmann (environmental economics
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computing (e.g. Python, C/C++, Fortran, MATLAB). Ability to analyse and interpret complex datasets, with good scientific judgement and attention to detail. A motivated, collaborative researcher with strong
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see https
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https://www.universiteitleiden.nl/en/science . The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute of the Faculty of Science of Leiden
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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or geospatial data and Explainable AI or causal inference; strong programming skills (Python required); the ability to work in an interdisciplinary medical–AI–public-health team; Good command of English
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and control and its applications. This PhD position is jointly supervised by Nathan van de Wouw, Tom Oomen and Michelle Chong. Where to apply Website https://www.academictransfer.com/en/jobs/357905/phd