20 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Switzerland
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statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results at consortium meetings
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. Supervise Bachelor’s and Master’s theses within the scope of the project. Contribute to the preparation of research proposals and technical reports. Your profile PhD in civil/structural engineering (or
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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Deadline 19 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications and presentations; and
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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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-ray diffraction and even more
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a