123 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" positions at ETH Zurich
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programming skills (ideally Python) and commitment to clear, reproducible, well-structured code Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise) Strong analytical
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface
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regarding the position should be directed to Dr. Daniel Stekhoven, stekhoven@nexus.ethz.ch, and Dr. Franziska Singer, singer@nexus.ethz.ch (no applications). For recruitment services the GTC of ETH Zurich
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disseminated through open-source code and scientific publications. Start: As soon as possible (applications reviewed on a rolling basis) Duration: 6 months (extendable) Job description Apply computational and
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Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will be hosted by the Institute of Environmental
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
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100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
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Zurich, Department of Management, Technology, and Economics (D-MTEC) Chair: Strategic Management and Innovation (Prof. Dr. Georg von Krogh) Start Date: Flexible, applications reviewed on a rolling basis
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send your full application (cover letter, transcripts, CV, references) with reference “Re-search Intern – Computer Vision” to our HR department (hr@inspire.ch). For technical questions, please contact Dr
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full application (cover letter, transcripts, CV, references) with reference ”Industrial AI & LLM Systems” to our HR department (hr@inspire.ch). For technical questions, please contact Dr. Markus Maier