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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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computationally challenging. To address this, our research employs advanced computational methods to simplify high-fidelity 1-D hydrodynamic models based on Partial Differential Equations (PDEs). This approach
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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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evolution, and further to modelling. Investigating transcriptional profile of lncRNA. It can be expression quantification, alternative splicing, start sites properties. Performing AI modeling and developing a
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photoreceptive pathways using mouse as a model system. Methods used in the lab include various in vitro, ex vivo and in vivo approaches, as well as functional and behavioral studies of relevant opsin knockout mice
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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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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sleep changes via telemetry. Protective Strategies: Evaluate helmet designs and materials. Treatment : Explore medical and training-based interventions in collaboration with The Swedish School of Sport
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in