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the following responsibilities: Designing and performing experiments to study skin regeneration, inflammation, and fibrosis using human tissue samples and preclinical models. Applying advanced molecular and
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in mammals. The Simon lab's primary salamander model is the Iberian newt which has the widest spectrum of regeneration capacity among vertebrates. The lab has established several experimental paradigms
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diseases, including genetics, epidemiology, immunology and epigenetics, with excellent clinical cohorts and experimental models. The Applied Immunology & Immunotherapy group is physically located
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human skin and/or preclinical models. The position will include the following: Designing and performing experiments to investigate TRM heterogeneity, differentiation, and functional states in inflammatory
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Inference for Statistics, Social, and Biomedical Sciences, or Pearl, 2016, Causal Inference in Statistics) Training deep learning models at scale on compute clusters. The candidate should have a proven track
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information Technology, Campus Norrköping. The postdoc
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dysfunction in disease and aging. By combining genetic, biochemical, and structural approaches with animal models and patient material, the division seeks to increase our understanding of mitochondrial disease
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overall science return. The combination of LISA and data from other projects would potentially allow a more accurate Galaxy model potential, including bulge, disc and halo, to be constructed. Likewise LISA
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apply trade modelling techniques to analyse the economic impact of disruptions due to adverse shocks. The overall goal of these projects is to improve resiliency in the food supply chain. Duties