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100%, Zurich, fixed-term The enhancement of endoscopic videos is a critical yet complex task. These videos are integral to various clinical interventions, where the clarity of imaging data is
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: use of thin steel membranes to investigate hydrogen uptake, diffusion, and trapping under representative microstructural and stress conditions. The three postdocs will collaborate closely across
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100%, Zurich, fixed-term ETH Zurich’s Energy and Technology Policy Group (EPG) is looking for a postdoc working on technologies and policies for carbon dioxide removal. Led by Prof. Dr. Tobias
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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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Tissue Inflammation and Metabolic Health (22501) The complete application should contain: · Cover letter outlining your motivation for the Postdoc position, relevant research experience and future
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the models and optimisation results by developing and operating various test setups and prototype systems in collaboration with an industry partner. Finally, you will explore the potential for integrating
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
-orbiting CO2 satellites will provide images of CO2 and NO2 emission plumes from point sources with unprecedented accuracy, resolution and coverage. The combination of CO2 and NO2 measurements will thus
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with ungulate impacts that often hinder forest adaptation to climate change. This is a 2-year postdoc position; an extension is possible but currently not guaranteed. The desired starting date is 1
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elsewhere in the project. This is a 2-year postdoc position within the context of WILDCARD. The starting date is as soon as possible for the successful candidate.
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Perceptual Inference, Probabilistic