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Field
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produce data that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models
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using various model systems (BIO ). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/308656/phd-fellowship Where to apply Website https://www.jobbnorge.no/en/available
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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spatial analyses, photogrammetry and 3D modelling of archaeological data. Archaeological GIS & Spatial Analysis (Geographic Information Systems applied to archaeology) Photogrammetry (3D reconstruction from
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases Key takeaways The University
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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2nd October 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and modelling of alpine vegetation change Apply for this job See advertisement UiB - Knowledge
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change, development patterns, spatial modeling, growth management) We are particularly interested in candidates whose work critically engages how data and AI can both reproduce and mitigate structural
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell
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combines human patient samples, mouse genetic models, single-cell and spatial transcriptomics, and in vivo cell-cell interaction tracing with CRISPR perturbation to mechanistically dissect EC-niche