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Human Stem Cell-based Neural Models is available at the Language & Genetics Department of the Max Planck Institute, Nijmegen, the Netherlands. The position is in the research group of Simon Fisher, co
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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TLDR: Build the data backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
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on a synchrotron with submicrometric spatial resolution. Spectroscopic data on As, Bi and W will be collected in order to determine their local coordination environment and oxidation state. In order to
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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particular emphasis on its contribution to biodiversity conservation and carbon sequestration under ecological restoration scenarios. The project will integrate spatial analysis, connectivity modelling, and
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The workplan proposed comprises two topics, each to be tackled by each studentship offered: Topic 1 - Automatic