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, as well as doctoral students, post-doctoral fellows, interns and/or volunteers. More details on https://tourduvalat.org/en/ Background and objectives Climate change is a major pressure on ecosystems
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter
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of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
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UnitedKingdomTime (posted 2026/02/26 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description Academic Job Description Department of Animal Science Research Associate – Livestock Spatial Modeler
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-derived motor neurons and Drosophila models. Now, we need a curious and driven PhD candidate to help us analyze these samples using spatial multi-omics. This is a joint project between Prof. Albena
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technologies, spatial omics data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
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origin of this unique landform, compiling a complete inventory in the northern hemisphere. In this PhD project, we propose to exploit the full potential of this landform to better understand: the spatial