17 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at ETH Zurich in Switzerland
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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to the fields of architecture and engineering. We have developed an open-source python library called AIXD ( https://aixd.ethz.ch/docs/stable/ ) for ML-assisted forward and inverse design. In the framework
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conceptually new type of image sensor based on perovskite materials. Related publications: 1. Tsarev, S., et al., Vertically stacked monolithic perovskite colour photodetectors. Nature, 2025. 642(8068): p. 592
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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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(8068): p. 592-598. Wu, E., et al., A CMOS-Compatible Fabrication Approach for High-Performance Perovskite Photodetector Arrays. Advanced Optical Materials, 2025. 13(10): p. 2402979. Fabrizi, F., et al
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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive
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for developing and operating their solutions. For effective collaboration, an integrated and harmonized Software Development Lifecycle (SDLC)—covering planning, documentation, coding, building, testing, and
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datasets and papers with open data and code that can serve as a basis for these exercises, then adapt these in jupyter notebooks (python or R) for student learning exercises. The Supervisor will advise
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with vibe coding, but you’re also expected to take responsibility for ensuring proper code quality control Workplace Workplace We offer A unique opportunity to work with LLMs in an Educational Technology
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments