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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
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is responsible for the scientific exploitation of the SµS, where it operates seven muon instruments and runs a world-leading muon science user program welcoming about 200 Swiss and international
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Climate Science at ETH Zurich with a focus on understanding and quantifying weather and climate extremes in a warming climate. Project background The Postdoc position will be an integral part of the newly
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. Proactively training postgraduate students and researchers in modern computational and data-driven approaches to chemistry. Evaluating and integrating emerging technologies (e.g., AI/ML tools, cloud computing
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100%, Zurich, fixed-term ETH Zurich’s Energy and Technology Policy Group (EPG) is seeking two doctoral researchers in the field of Innovation and Policy of Energy Storage. Led by Prof. Tobias
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2 Apr 2026 Job Information Organisation/Company University of Zurich, Institute of Education Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher
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of Immune Engineering (BIIE), which aims to develop innovative computational and immune-based solutions for pressing health challenges, particularly those affecting children and adolescents, and encourages
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, with deep experience in appearance reconstruction and material modeling. Required Qualifications MSc in Computer Science or related field Strong background in computer vision and/or computer graphics
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. The position is subjected to admission to the doctoral program at D-MAVT. Profile We are looking for : a curious and resourceful individual, with a pronounced taste for interdisciplinary science, experimental