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laboratory-based role and as such it needs to be performed on site for roughly 80% of the time, but there will be opportunities to work remotely for roughly 20% of the time, for example when processing data
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, chromatin architecture, DNA replication and epigenetic features regulate the key processes of antibody somatic hypermutation and class switch recombination as well as the oncogenic chromosomal translocations
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management and ability to work independently. Initiative, creativity and flexibility. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be
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at internationally recognised conferences and workshops 4. Some teaching experience Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be
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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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this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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Institute, a pioneering biomedical research institute in London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster