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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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of paediatrics at UKBB. Your clinical experience and commitment to postgraduate medical education will secure and further develop the training of paediatric residents and senior physicians in accordance with
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in management and organization research, not a technical AI-development role. The successful candidate will study AI as an organizational and strategic phenomenon, with a strong focus on theory-driven
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Your position • Maintain and enhance pipelines for spike sorting, calcium imaging signal extraction, neuron tracking across recordings, and automated behavioral analysis. • Develop efficient data
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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