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, biomonitoring, and toxicity data. Key responsibilities: Lead UCAM's contribution to Task 5.2, including modelling of respiratory deposition of indoor particulate matter and estimation of exposure to aerosol-bound
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: PhD in Chemical Engineering or related field Required Education: 1 year of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields Desired Experience
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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research. Under the direction of Dr. Michael Welsh, the center has pioneered the use of porcine models to study cystic fibrosis and other chronic airway diseases. Fully integrated within this environment
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infection in vulnerable infants? Join an NWO Vidi project that combines advanced gut-on-a-chip technology, organoid models and microbiome approaches. You will work in an interdisciplinary setting to establish
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across specialties, linking clinical care and research; (2) supporting the development of predictive models for dental disease outcomes using structured and unstructured electronic health records; and (3