128 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions in Switzerland
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registration required before February 14th 2026 on http://www.unige.ch/academ For further information, contact: With a view to achieving parity, the University encourages female candidates
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work in the team of Dr. P. Carrara and will be in charge of testing the behavior of different elastomers up to failure, analyze the results with novel digital and numerical approaches and contribute
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mechatronics systems is a plus Excellent coding skills in python, ROS, and RL&IL pipeline experience on simulator and training libraries. Knowledge on C++ is a plus Experience with Physics simulators such as
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received by 1 November 2025. Note: as an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application
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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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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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) 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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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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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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postdoctoral researchers will join the group of Dr. Chiara Caprini and will focus their research respectively on: The generation, evolution, and properties of primordial magnetic fields at the electroweak energy