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plasma-modulated plasma accelerators (P-MoPAs). The successful candidates will undertake research into the underlying physics and operation of plasma-modulated plasma accelerators (P-MoPAs), advanced
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly
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with research group members and study participants. -Process and store samples for analysis. -Perform pre-processing and quality control on raw lipidomic, metabolomic, proteomic, transcriptomic and
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analysis of genomic and related data and will depend on good mechanistic understanding of cellular processes involved in genome replication, damage tolerance and repair. Analyses will entail the development
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follow up and recruitment of the children, at age 1 to 4 years, scheduling and conducting screening and study assessments, performing ultrasound imaging, and managing data entry and quality control. As the
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this project, we will be studying co-design of robot hardware and control for robot manipulation. “Co-design” aims to simultaneously optimise the robot hand design (e.g. the number of fingers, the shapes
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new project on dexterous robot learning. In this project, we will be studying co-design of robot hardware and control for robot manipulation. “Co-design” aims to simultaneously optimise the robot hand
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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime