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sequencing, cell culture and microscopy. A dynamic and highly interdisciplinary team including wet-lab scientists, computer scientists, and clinicians. Cross-disciplinary collaborations and training
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, cell culture and microscopy. A dynamic and highly interdisciplinary team including wet-lab scientists, computer scientists, and clinicians. Cross-disciplinary collaborations and training opportunities
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field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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interdisciplinary team including computer scientists, experimentalists and clinicians. ■ You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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microscopy. A dynamic and highly interdisciplinary team including wet-lab scientists, computer scientists, and clinicians. Cross-disciplinary collaborations and training opportunities to further develop and
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functionalized lignin as a precursor for carbonaceous structures – Produce optimized ink formulations for laser-induced graphitization processes using functionalized lignin oligomers – Characterize the materials
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engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration between Gramazio Kohler Research (Chair
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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processes in flow batteries. This project focuses on developing physics-based models of electrochemical double layers and their spectro-electrochemical characterisation, contributing to fundamental