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well as collaborative work on the high-resolution structure of the podocyte slit diaphragm. The Oxford Kidney Pathology (Bull) Group have an interest in structurally informed analysis of kidney spatial transcriptomics
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The Role and Department The Department of Engineering is consistently one of the very best UK engineering departments with an outstanding reputation for excellence in teaching, research and employability of our students.The Department is ranked 6th in the Guardian University Guide and 7th in the...
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of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future
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interdisciplinary research project funded by a prestigious APEX Royal Society Award. This is an excellent opportunity to contribute to cutting-edge research at the interface of structural engineering, materials
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Hours of work: Full-time. Tenure: Fixed term available for 36 months. We are seeking an outstanding researcher with expertise in advanced structural characterisation to lead in solving
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across the bacterial cell envelope to reach the cell surface? As the successful candidate, you will drive this project by combining structural and mechanistic approaches to identify and characterise
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cellular organisation and the ability to learn and apply specialist knowledge in areas such as structural biology, recombinant protein biochemistry and biophysics, and/or parasitology. You will bring
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to have published in leading machine learning conferences or similar venues. One or two PDRAs will be recruited to work within one of, or across, the four research themes: Learning with Structured
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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post holder will work on all three: Aim 1 will focus on 2D flows and simulations to obtain the best possible agreement (statistics, flow structures, etc) between experiments and simulations. ML methods