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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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CRITERION) Knowledge on Chemical Sensing (MUST CRITERION) Excellent knowledge of English (C1) (MUST CRITERION) Experience in research management and in leading project staff (TARGET CRITERION) Didactic skills
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, autocomplete them, and provide answers through a platform accessible to all researchers. By integrating Health, Biology, Artificial Intelligence, and Epidemiology, it targets three complementary use cases
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statistical models (Bayesian approaches, geographical analyses) adapted to environmental data. • Carry out statistical analyses and the spatial distribution of risk between residential environmental exposures
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(KCL), the post holder will investigate the biology of regulatory T cells (Tregs) to identify the most suppressive Treg subsets within IBD gut lesions - informing targeted strategies for restoring immune
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 19 hours ago
of p53 and gain-of-function p53 mutants in cancer; and 2) how tumor suppressors, including p53 and its target genes, regulate cancer metabolism, tumor-immune interactions, and cancer cachexia. Selected
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that couples wall chemistry, wall stiffness, and turgor pressure, then use that model to design targeted experiments that separate what the receptor detects: the chemical products of wall remodelling
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response. The project focuses on ER+ breast cancer, bone metastasis, tumor–immune interactions, macrophage biology, fatty-acid metabolism, and therapeutic targeting. The Postdoctoral Associate will use in