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relevant PhD/DPhil (or be near completion) in machine learning, computer vision or biomedical image analysis, together with relevant experience. Publications/presentations in top conferences and journals in
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image processing algorithms and software, to process two-timepoint (longitudinal) data from UK Biobank brain imaging. This will involve development of image alignment methods, population template image
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of this project is to develop anticancer molecularly targeted radiotherapy agents (theranostics) for the imaging and treatment of cancer. The focus of the project will be on specific organelle targeting with
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group develops and applies methodologies to detect, image and characterise biomolecules and the complexes they form. We have developed mass photometry, a technique that uses light scattering to visualise
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systems, sequencing and imaging. You will also participate in and contribute directly to scientific discussions with other members of the research group and collaborators on the project. You will be
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instance Hours: Full Time (37.5 hours per week) About the role We are looking to appoint a Postdoctoral Research Associate to join the lab of Dr Michael Ranes with expertise in super-resolution imaging
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involving terahertz time-domain spectroscopy and imaging**.** Over the course of the project, we will develop and implement instrumentation that will enable us to gain a deep understand nanoscale charge
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with the work involved in childcare. The research assistant will work under Professor Ekaterina Hertog’s guidance and scrape data from Google and Apple app stores to get a basic picture on the use
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network to “see” and interpret objects directly, bypassing the processing bottleneck associate with converting an image into an electronic form. Such a system will have ultra-low latency and find
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strategy to minimise non-biological variability in the measures and iii) implement it at the acquisition and/or image processing level. The project is in close collaboration with the University of Manchester