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the University of Oxford and the University of Cape Town. The programme integrates AI-driven image analysis with molecular and clinical data to identify novel disease-associated features and translate them
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also be able to process and transform historical, multilingual or otherwise non-standard textual data and to design and validate evaluation benchmarks; have strong Python and software engineering skills
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central Oxford We are seeking a full-time Postdoctoral Research Assistant to join Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by Coefficient Giving
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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scientists and engineers to tackle the challenges preventing the commercialisation of the lithium-air battery. By understanding the processes and degradation mechanisms that occur in these cells, we seek
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for future
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Kapetanovic’s research programmes are the: Discovery and development of new genetic therapies for retinal diseases. Investigation of innovative ocular surgical techniques including robotic eye surgery. Testing
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You