204 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at ETH Zurich
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Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via ETH Zurich’s online application system can be considered. Please prepare the
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; Astronomical Instrumentation; Optical Design Skills Development During the PhD, the student will develop expertise in: Extreme-precision radial velocity (EPRV) instrumentation Optical design and tolerance
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typically conduct work related to membrane synthesis, experimental characterization, and transport modeling. Job description The postdoctoral researcher will lead and develop research activities on next
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research environment and to contribute actively to teaching activities Workplace Workplace We offer Training opportunities Perspectives for career development Support programmes (e.g. mentoring) and networks
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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facility automation. To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient
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. 10007007; project start 01.10.2025: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development
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. Roman Zweifel) and CzechGlobe on Innovative technologies cross scales to disentangle carbon dioxide and evapotranspiration fluxes of forests (INETFLUX ). We aim to develop and validate new approaches
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to work with leading experts across Europe to develop solutions for Decentralised Critical Infrastructure Asset Monitoring and Condition Assessment . This position focuses on next-generation distributed
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Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal