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Are you a creative postdoctoral-scientist keen to explore novel in-situ biology with cryogenic electron tomography? Do you have a background in imaging technologies and/or image processing? We
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/or image processing? We are looking for a correlative imaging scientist to develop, innovate, and support in-situ structural biology workflows working across the Cheney Biomedical Accelerator and
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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Novel Nanoswimmers - exploring novel routes to propulsion at the nanoscale. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse, Dr Stephen
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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with over 100 academics. There are around 2,500 undergraduate and taught postgraduate students, and over 250 PhD students within our London operation, supported by about 45 administrative and technical
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institutions of Cambridge and UCL. You will hold a PhD in Optical Imaging/Physics, Biophotonics, Medical Imaging, Image Guided Intervention or a closely related discipline, or equivalent research, industrial
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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