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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
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for nonlinear propagation in multimode fibers and to perform spatial, spectral, and temporal analyses of the radiation emitted from the fiber. This radiation can be used in experiments to measure linear and
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interactions by exploiting spatial transcriptomics data and network-theoretic approaches. Contract start date: May 1st 2026 or later depending on your availability Activities : - design of a new mathematical
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 28 days ago
corresponds to a land occupation pattern characterized by isolated and discontinuous constructions in a predominantly rural or peri-urban territory, resulting in low density and spatial fragmentation
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cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal-fetal interface, with the goal
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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ovarian cancer. The laboratory has about 18 members that study ovarian cancer biology. We use a variety of cutting-edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 17 hours ago
spatial sustainability science subjects, transformative leadership, and technical skills in research, writing, and publishing. Additionally, fellows may choose courses from the wide-ranging programme of
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uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
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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