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esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions. We seek a curious, highly motivated, and creative
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repair, oxidative stress, metabolic rewiring, and immune modulation in FLASH/UHDR-RT). Preclinical model development (orthotopic murine systems, patient-derived xenografts, 3D organoids). Correlative
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the spatial heterogeneity of CH4 emission using analytical footprint model and a lagrangian stochastic transport model. About the position Depending on the appointee’s competency and the type of employment
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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data using unique novel mouse models, spatial technologies
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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collaboration with modelling (WP3) and societal uptake (WP5) partners; · Development of standardized indicators for evaluating technical, ecological, and societal outcomes. This WP involves close
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, or advanced bioinformatics. Experience in brain tumor research and patient-derived models is preferred but not required. REQUIRED SKILLS Experience developing or utilizing advanced spatial multiomics
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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include