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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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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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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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artificial intelligence, for integrative modelling of macromolecular complexes, including protein assemblies, protein-ligand interactions, and conformational changes. Our research also aims to understand and
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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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of renewable energy sources (wind and solar). The successful Post-doc candidate will work in the development of hybrid forecasting models combining numerical weather prediction (NWP) models with artificial
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specific protocols and rules. We employ sophisticated data analytics and targeted modelling to uncover the fundamental mechanisms driving these emergent properties. Core Research Areas Blockchain Analytics
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data analytics and targeted modelling to uncover the fundamental mechanisms driving these emergent properties. Core Research Areas Blockchain Analytics Cryptoeconomics and Incentive Design Consensus
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models. This simulation-as-a-service middleware architecture developed by the Digital Twin Lab is currently powering applications such as the Digital Urban Climate Twin. More specifically, you will be
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research at the interface of modeling and simulation of laser manufacturing processes (e.g., laser cladding, additive manufacturing) and experimental validation using advanced facilities (high-speed optical