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Field
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nano-anatomy. In the group, we employ the new paradigm of “molecular connectomics.” We use expansion microscopy and other light microscopy tools to combine classical morphological neuron segmentation
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Job Description Position Details Department of Inflammation and Ageing, School of Infection, Inflammation and Immunology, College of Medicine and Health Location: University of Birmingham, Edgbaston
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expertise. Demonstrates experience in digital pathology and image analysis. PhD in Cancer Research or similar. Familiarity with AI/ML concepts. Evidence of active participation in breast cancer research with
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for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181016 . You will be required
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self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or
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and sports clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181016
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cancer and imaging data and integrating it with genomic and digital pathology data generated by the King’s Health Partners and Barts cancer biobanks. PharosAI will accelerate the development and deployment
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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part of our Science Challenge on multi-dimensional imaging. Our aim is to develop simulated “movies” of the protein conformational ensemble from time-resolved cryo-EM datasets and use these to better