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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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/ Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Externally or self-funded students only View DetailsEmail EnquiryApply Online
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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). Prepare biological specimens for optical imaging workflows, including fixation, embedding, sectioning, labeling and mounting. Optimize staining protocols and tissue/cell processing methods to ensure
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training in stem cell biology (culture), molecular techniques (qPCR, RNAseq), imaging (confocal microscopy), and genetics (conditional knockout mouse lines). Science Graduate School As a PhD student in one
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diagnostic imaging physicist, and 1 nuclear medicine physicist/RSO. This position will provide clinical service to the Network Department of Radiation Oncology. The UVM Medical Center (UVMMC), the network hub
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the Core facility for Integrated Microscopy (CFIM). CFIB currently offers open access services on a broad range of bioimaging technologies; including preclinical in vivo NMR imaging, multiphoton intra
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through publications and presentations throughout the PhD. 6 Skills The candidate should hold a Master’s degree in electronic engineering, embedded systems, artificial intelligence, signal or image
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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees