220 embedded-system-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions at ETH Zurich
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The Integrated Devices, Electronics, And Systems (IDEAS) Group led by Prof. Dr. Hua Wang at ETH Zurich invites applications for a postdoctoral position focusing on biological and molecular assays
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recordings. A central element of this project is the integration of a custom application-specific integrated circuit (ASIC). In this role, you will be responsible for defining and overseeing the requirements
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The BedrettoLab (Bedretto Underground Laboratory for Geosciences and Geoenergies) is an innovative research facility operated by ETH Zurich. It is situated in a 5.2 kilometers long tunnel with
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100%, Zurich, fixed-term Impact Build is a new startup (ETH label pending) that aims to decarbonize construction through robotic manufacturing. Our core technology, Impact Printing, is an innovative
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of key novel optical components. The primary objective of the PhD is to actively participate in the instrument construction phase, leading the design and manufacturing of key subsystems, and contributing
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The PhD student will play a key role in the installation, commissioning, and early scientific exploitation of the DUET system. The scientific focus of the project is to leverage simultaneous visible
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allows for independence and responsibility, and we provide as much flexibility as possible on working hours and days. The job mainly involves: Equipment cleaning, organisation and preparation Potting and
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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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daylighting to form an independent research field at the Daylight Integration Nexus (DINx). Supported by Velux Stiftung, the Architecture and Building Systems (A/S) group together with the Chair of Architecture
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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