10 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" Postdoctoral research jobs at University of Basel in Switzerland
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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performance across development. Possible research topics within this position include, among others, “Embodied Learning", physical activity and sport in Developmental Disorders, and the cognitive effects
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mates; help with administrative tasks, conference organization, communication tasks. You will be encouraged to: take on a co-mentoring role for the project's two doctoral students; teach one or two
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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, “Embodied Learning”, physical activity and sport in Developmental Disorders, and the cognitive effects of physical activity and sports in school settings. Our research group adopts a methodological approach
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computer scientists, experimentalists and clinicians. You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests. Access