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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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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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Description PhD Position in Mesoscale and Macro-homogeneous-scale Modelling of Electrodes 100% ZHAW - Zurich University of Applied Sciences Winterthur, Switzerland This doctoral thesis is part of the European
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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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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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generations to come. Join Roche, where every voice matters. The Position In Roche’s Pharmaceutical Research and Early Development organization (pRED ) , we make transformative medicines for patients in order
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within a Research Infrastructure? No Offer Description PhD position on In-situ characterization and Digital Modeling of Li-Ion Batteries We offer a PhD position on "In-situ characterization and Digital
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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
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Systems 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 become more adaptive