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View All Vacancies Reference: UOH-TA-429 Campus: Hybrid Faculty/Area: Faculty of Science and Engineering School/Department: School of Environmental Sciences Subject Group/Team: Geography and
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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computational, a good understanding of practical molecular biology will be important. It is expected that the holder of this post will take a leading role in producing analyses for publication and dissemination
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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Location: Department of Engineering Science, in collaboration with Experimental Psychology and in association with St Catherine’s College We are seeking a creative and highly motivated postdoctoral
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform
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conventional boundaries and pursue hypothesis-led science. We will make every effort to support the successful candidate to research independence through the programme, and with training and mentoring
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Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff