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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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of PhD submission. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in quantitative image analysis approaches. Excellent molecular biology skills. Strong interest and
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and imaging technologies. Current research themes include cell signalling and decision making, tissue architecture, homeostasis and regeneration, cell-matrix biology, RNA biology and the physics
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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Neural circuit dissection techniques Expertise in in vivo electrophysiology or single-cell resolution imaging Essential Skills Excellent written and oral communication Strong organisational and
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including