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biological questions about how cytoskeletal proteins are used by disease-relevant organisms. We have access to excellent facilities such as the Central Oxford Structural and Molecular Imaging centre (COSMIC
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Knowledge, Skills, and Abilities PhD in Neuroscience is required. Experience with in vivo imaging in head-fixed behaving mice is required. Experience with Arduino microcontrollers for the design and control
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cytoskeletal proteins are used by disease-relevant organisms. We have access to excellent facilities such as the Central Oxford Structural and Molecular Imaging centre (COSMIC), as well as the Micron imaging
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technologies on the vacuum Space Coronagraph Optical Bench (SCoOB), coronagraphic image post-processing for existing and future space telescopes, simulation of coronagraphs for future missions including
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expertise in intravital microscopy in the Kiefer Lab at the European Institute for Molecular Imaging. Uncontrolled inflammatory processes are at the basis of many widespread diseases including myocardial
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workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry
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disease variants, to gain insights into how cells adapt and work together to safeguard organ formation. Using advanced live-imaging techniques, the research team closely interrogates how developing tissues
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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therapy, micro-dosimetry, scintillating dosimetry, ultra-high dose-rate dosimetry for protons and/or electrons, accuracy in radiation measurement, AI-integrated high-resolution imaging systems, and the
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developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration