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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 15 hours ago
methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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The research group Ecology at the Department of Environmental Sciences at the University of Basel in Switzerland invites applications for a postdoc position within the ERC project 'Global status
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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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Physics » Biophysics Researcher Profile Recognised Researcher (R2) Country Switzerland Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 41 Is the
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Researcher (R2) Country Switzerland Application Deadline 26 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 41 Is the job funded through the EU Research Framework
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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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Recognised Researcher (R2) Country Switzerland Application Deadline 23 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 41 Is the job funded through the EU Research
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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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, 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