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to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research Centre of Excellence. This is a
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imaging strategies to enable detailed analysis of native biomolecules within cells in three dimensions. The research will focus on uncovering disease-specific molecular processes, with particular relevance
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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image/data-processing workflows. · Ability to deliver an independent research project and communicate results clearly. · A collaborative approach suited to multidisciplinary and consortium-based
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry
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Excellence Framework we ranked second in the UK for research power. We are now seeking an Assistant Professor or Associate Professor in Equine Diagnostic Imaging or Orthopaedics to join our team and to help
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ranked second in the UK for research power. We are now seeking an Assistant Professor or Associate Professor in Equine Diagnostic Imaging or Orthopaedics to join our team and to help continue to deliver
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assays to uncover how ERG functions as an "immune gatekeeper" during both steady-state and inflammatory challenges. Ultimately, your findings will define a new roadmap for therapeutic targets to treat
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underlying the processing of natural visual stimuli, using in vivo large-scale two-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data