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between nutrition, metabolism and the epigenome. The group uses a translational approach from in vitro systems and mice to humans combining next-generation sequencing, single-cell methodologies, genetics
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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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timetable, energy efficient speed trajectories, and to integrate higher automation in the management of both vehicles and networks, also integrating human aspects from the driver and safety procedures (see
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to provide foods of particular quality and health value for human consumption. It is important to note that the advertised position is not bound to a particular research project. Potential directions
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human health, with the ultimate goal of creating microbial communities and products that optimize food quality, safety, and human health. We are seeking a postdoctoral researcher with expertise in
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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
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experience in human modelling and simulation Proficiency in mathematical optimization (e.g. multiobjective GA) Confirmed records on the methodological areas: deep learning, topological design, generative AI