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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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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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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 Jordanova (VIB-UAntwerp, Belgium) and Assist. Prof. Csilla
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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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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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? No Offer Description 1 (one) Research Fellowship under Special Regime (BI-RE) for a PhD Student 1 Research Fellowship(s) under Special Regime (BI-RE) is(are) open at the FCiências.ID – Associação para
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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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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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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