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of Medical Microbiology at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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100%, Basel, fixed-term The highly competitive the Bio-Engineering Systems for Therapeutics (BEST) postdoc programme, part of the Next-gen Bioengineers initiative, is operated jointly by
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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Position in the NorSCAPE Project: “Norway Spruce in a Changing Climate: Adaptation, Acclimation, and Physiological Responses for Resilient Forests in Europe” for 2 years, with possibility of extension.This project is in collaboration with the COSTAction CLEANFOREST. Norway spruce (Picea abies)...
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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The Institute for the History and Theory of Architecture (gta) is inviting applications for two visiting lectureship positions in the history of architecture, urbanism or landscape. The appointment is limited to two years, with one position starting in September 2026, the other in February...
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can