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from the Centro, Alentejo, and Algarve regions. In each of the case studies, methods such as interviews, participatory observation, body-territory and environmental health mapping, and image and story
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fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model organism will be Bacillus subtilis, but other bacteria as well as fungal species including
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imbalance. Using comparative biological models, the project will examine mitochondrial physiology, stress-related and redox-associated processes in relation to symbiont localization, integrating imaging-based
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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BBSRC Yorkshire Bioscience DLA Programme: Neuronal compensation for natural circuit perturbations School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Andrew Lin
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within the PhD trajectory? You can read more about this on this page . Your work includes: development and application of image-processing pipelines; multivariate modelling using network analysis and
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-dependent cognitive processing) working with (Professor Lars F Muckli and Dr Lucy S Petro ). The project will use functional magnetic resonance imaging (3T and 7T fMRI) to investigate context feedback
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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multimodal expansion (“ImmunoPixel‑seq”). Work includes NGS data processing, spatial barcode mapping, single‑cell & spatial analysis, and cell segmentation in brain, tumor, and other tissues. Purpose