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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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transduction, cell culture, and immune functional assays; supporting the development of in vivo models, such as adoptive T-cell transfer in mice, for preclinical testing of engineered circuits where relevant
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disease mechanisms and neural biomarkers of disease progression. Our research integrates findings from model systems with translational human studies (e.g., using MEG/EEG), in close collaboration with
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human tissues. These gaps hinder the development of physiologically relevant laboratory models for drug discovery. As part of the Swiss research network http://www.nccr-antiresist.ch/ , the Bumann lab
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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of AI and computer science. At INSAIT, you will benefit from: World-class research opportunities in areas such as computer vision, foundational models, safe and secure AI, robotics, quantum computing
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in these areas. It is anticipated that the work will be based at CERN for a major portion of the duration of the appointment. There may be opportunities for some presence at the Fermilab LHC Physics
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funding schemes such as SNSF and ERC calls. In addition to writing their own project proposal, the postdocs will prepare one or two publications for peer-reviewed journals or volumes based on their proposal
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Biljecki (National University of Singapore). Your key responsibilities will be: 1. Co-developing the research of work package 1. This work includes, a.o.: Developing deep learning models for the project’s