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project interfacing research and industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X
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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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candidates to apply for a post-doctoral position in Biomedical Research investigating allergic, immunologic and metabolic processes. The candidate will join a multi-disciplinary team focusing
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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at ZHAW over a period of 36 months. We are seeking a highly motivated PhD candidate to join our research team working on mathematical modelling of electrochemical processes in flow batteries. This project
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 30 Nov 2025 - 23:55 (Europe/Zurich) Type of Contract Temporary Job Status Part-time Is the job
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possess equivalent technical training and relevant experience, with a strong drive to advance research in central nervous system disorders. Candidates with a PhD will not be considered for this role. You
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to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad implications for understanding cellular health and disease. As a PhD student on this project, you will
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can