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the lead researcher team. Profile Enrolled at ETH Zurich or the University of Zurich in chemistry, pharmacy, chemical engineering, biotechnology, or related fields. Basic understanding of pharmaceutical
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Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
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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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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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, with an imminent launch in the Netherlands. The project is a collaborative effort between ETH Zurich and Stanford University. Job description Your task will be to support the ongoing project in
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exhaled breath. The project will be conducted in collaboration with Agroscope (Liebefeld Campus), University Hospital Zurich, and the Swiss Allergy Centre (aha!). The position will last for one year, with
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab invites applications for a PhD position in Computational Interaction, focusing on sensor-based input detection for Augmented and
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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people over Technical understanding and affinity for operating complex systems, ideally in the fields of robotics, sensor technology, or maritime technologies Flexibility and ability for spontaneous