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development for quantum key distribution and (2) TFLN circuit development for quantum enhanced precision measurements. This PhD project aims to further advance the nanofabrication of TFLN photonic circuits
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The successful PhD candidate will contribute to the scientific development, implementation, and evaluation of a mobile app. Working within a highly multidisciplinary team of psychologists
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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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Engineering, ETH Zürich and matriculate in ETH Zürich. The research is related to development of experimental and modeling techniques to identify emission sources, simulate the airborne transport, analyze
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on building robust prototypes that can operate in real production environments. Job description Design and implement AI-based decision-support systems for manufacturing applications Develop LLM-based
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As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic systems representing the building blocks
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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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recently developed Aggregation-Uncaging Focused Ultrasound (AU-FUS) technology for delivering drugs non-invasively to specific brain structures using customized drug carriers. The key objectives
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at ETH Zurich develops and tests digital interactions using emerging technologies and artificial intelligence. As a joint initiative of ETH Zurich and a Swiss insurer, we focus on exploring the benefits