30 condition-monitoring-machine-learning PhD positions at University of Basel in Switzerland
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optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation
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Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical foundations. Candidates should possess an exceptional academic record and a strong mathematical...
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8 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Physics » Optics
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macrophages with next-generation armored CARs. Lab website: www.hutterlab.ch Your position Design, develop, and test next-generation armored CAR (Chimeric Antigen Receptor) constructs. Perform genetic
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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 PhD position within the ERC project 'Global status
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) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a
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) Country Switzerland Application Deadline 10 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 16 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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First Stage Researcher (R1) Country Switzerland Application Deadline 31 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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exposure in a Swiss context. The proposed research will directly support the mission of the Swiss Federal Nuclear Safety Inspectorate (ENSI) to effectively monitor the safety reporting process, contributing