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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
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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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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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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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for an excellent young life science or computational researcher to become Group Leader. Fellowships are targeted towards applicants to start their first independent group within a few years of their PhD. We offer
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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
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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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research focuses on investigating the roles of spatial organization in biological processes. To achieve this, we develop DNA nanotechnology-based tools to map and manipulate membrane protein nanodomains (e.g
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addressed using in vitro biochemistry assays based on purified recombinant proteins, and/or through cell and molecular biology techniques in human cells. Qualifications The candidate should hold, or be about