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20%-40%, Zurich, fixed-term Modern diagnostic imaging modalities provide a wealth of information in three and more dimensions, which often exceeds human processing capacity. To help humans to study
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geospatial analytical models. It will utilize mixed-reality devices to superpose data visualizations and real-world places. The application will enable people to have a better understanding of human mobility
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electric vehicles, and modeling of human behavior. This postdoctoral student position will be embedded in our Laboratory and supervised by Prof. John Lygeros. Job description In the framework of the NCCR
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scale to predict structures of human protein-protein interactions (Burke et al. NSMB 2023), work we have continued to expand upon. More recently, we have also made use of predicted structures across
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on molecular and cellular responses in human cells. You will develop new approach methodologies for in vitro toxicology by computational integration of various sources of high-content data (i.e. DNA sequencing
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with dynamic path planning. Our goal is to leverage advanced real-time sensor fusion for human modelling for personal mobility devices to achieve highly reactive shared control at different levels
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in Switzerland since 1998 Your profile You must be enrolled at a Swiss University, preferably in a humanities, social science, or data science track toward the end of your Bachelor or in your Master
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, mentioning for each the professional relationship you have with them Evaluation of candidates will begin immediately and continue until the opening is filled. Please note that we exclusively accept