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The Path to Power: 2024 project utilises the unprecedented opportunity of more than four billion people voting in elections in 2024 to generate a comparative picture of the contemporary state
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level of English Advantageous: Experience nanomedicine. Active matter, in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such
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studies linking preclinical discoveries to clinical trials in radiation oncology. Innovative imaging and biomarker development to track response to ultra-high dose rate therapy. The postdoctoral scholar
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach allows us to reveal microbial processes that are difficult to capture with standard models, connecting patient
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access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical
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High Performance Computing. Expertise in image and spatiotemporal data processing. A strong publication record in peer-reviewed journals and conferences. Excellent written and oral communication skills
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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-up (Bruker dimension icon), and has further access at QMUL to SEM and TEM. We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a
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ecosystems in a human transformed landscape” funded by the National Science Centre. Principal Investigator: prof. dr hab. Andrzej M. Jagodziński Key words: hyperspectral imaging, laser scanning, remote sensing
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. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. Within the FOEN funded «Habitat Map of Switzerland» project