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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
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collaborative and internationally renowned research environment. The successful candidate will play a key role in advancing cutting-edge research focused on understanding the physiological mechanisms underlying
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interfaces; therefore, expertise in this field is essential. They will analyse the electrochemical heterogeneity of the interface and elucidate degradation mechanisms related to short circuits. EIS will be
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets
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mechanisms of DNA damage responses and how sensitivity and resistance arise in different cancer cells and genetic backgrounds in response to ionising radiation and clinically relevant drugs. The postholder
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. The Jones group is looking for a person keen to work in a highly collaborative set-up and enthusiastic to join our diverse and interdisciplinary team. Solid communication skills are required to interact with
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development, robotics control and dexterous hands, mechanical and circuit design (e.g., SolidWorks, Altium Designer, PCB fabrication), and multi-system integration for real-time data synchronization. Experience
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projects simultaneously including coordinating with other group members and collaborators. Additional expertise in computational, solid state, photophysical, electrochemical characterisation, device