197 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich in Switzerland
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information, please contact Dr. Christina Schnadt Poberaj, phone no. +41 44 633 84 58, email christina.schnadt@c2sm.ethz.ch or Prof. Andreas Prein, phone no. +41 44 632 30 29, email andreas.prein@env.ethz.ch
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100%, Zurich, fixed-term The bioMatter Microfluidics Group of Dr Eleonora Secchi at ETH Zurich is seeking two PhD candidates. Our research focuses on uncovering the physicochemical mechanisms
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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will not be considered. Evaluation starts 10 January 2026. For more information please contact Prof. Dr. Michael Sander (michael.sander@env.ethz.ch). About ETH Zürich ETH Zurich is one of the world’s
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for an interview by 31.03.2026. Start date will ideally be June-July 2026. Questions regarding the position should be directed to Dr. Martin Hartmann, martin.hartmann@usys.ethz.ch . Please note that we exclusively
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on our Website . For more information about Quino Energy, follow this link . Questions regarding the position should be directed to Prof. Dr. Máté J. Bezdek email (mbezdek@ethz.ch). Please note that we
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80%, Zurich, fixed-term The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury (SCI
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applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about our institute can be found on our Website
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to conclude the recruitment process before the end of January 2026. Further information about the Laboratory for Bone Biomechanics can be found on our website . Questions regarding the position should be
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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling