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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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for therapeutic applications in hypoxic tumors, with the goal of improving the efficacy of radiotherapy. This interdisciplinary project is a collaboration between ISTCT/CNRS, expertise in imaging, radiotherapy, and
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
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, your tasks will include: •Designing, executing, and analyzing model-based workflows to study the molecular response of cartilage under mechanical load. •Integrating advanced imaging techniques, including
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: 259698 Minimum Education and Experience: A Ph.D. or Doctorate degree in a relevant research field is required. Knowledge of protein purification, molecular cloning, anti-cancer research, imaging is
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and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s
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responsibilities will be to: Photonic System Innovation: Craft state-of-the-art instruments and components for commercialisation across optical communications, hyperspectral imaging, and astronomical applications
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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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, in vivo calcium imaging, viral gene delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and