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on the molecular mechanism of DNA replication initiation in bacteria. This work is aimed at unravelling the sequence of events that lead to helicase loading during initiation and restart. This structural biology
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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on the molecular mechanism of DNA replication initiation in bacteria. This work is aimed at unravelling the sequence of events that lead to helicase loading during initiation and restart. This structural biology
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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therapies. This role offers a unique opportunity to investigate the mechanisms of therapeutic resistance in glioblastoma and contribute to the development of more effective treatment strategies. Our research
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Applications are invited for an exceptional Postdoctoral Scientist to the join the group of Prof. Claus Nerlov to study blood cell development, with particular emphasis on mechanisms of HSC ageing
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researcher to investigate the neural mechanisms underlying decision-making, using the fruit fly Drosophila melanogaster as a model system. Funded by the BBSRC, this project will combine innovative behavioural
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the long-standing and counterintuitive observation of attraction between similarly charged particles in solution. In a series of papers we described the mechanism behind an “electrosolvation force” that can
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of attraction between similarly charged particles in solution. In a series of papers we described the mechanism behind an “electrosolvation force” that can drive such an attraction (J Chem Phys 2020, Langmuir