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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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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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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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hospitals. Prior experience in computer vision, biomedical imaging and the analysis of data recorded by wearable devices, body-worn sensors or other flexible wearable sensors. Informal enquiries may be
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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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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
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the design of an image guided theranostics early clinical trial and also provide support for independent research fellowships and additional projects. About you It is essential that you hold or be near