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assays. Advanced skills in study/experimental design and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Excellent inter-personal skills with
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of excellence for research and innovation, providing thought leadership, coordination and translation to impact across the quantum landscape in the UK and beyond. QuSIT builds upon a decade of government
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in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and conducting experimental studies in a mechanical engineering laboratory
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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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for chronic fuel cell monitoring in vivo including common electrochemical characterization methods. • Design and manufacture an micromachined interface between the fuel cell and the implantable
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/experimental design and analysis of complex research data. Advanced knowledge of preclinical (in vitro and/or in vivo) validation. Excellent inter-personal skills with an ability to work co-operatively in a
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(SPAD) detectors, we initiated and led collaborations to produce the first custom-designed InGaAs/InP single-photon avalanche diode detector (2006), first strained SiGe SPAD (2002), and custom-designed Ge
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for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training in research
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of a Community of Impact Practice which will bring together community organisations, schools, health providers, and lived experience experts to co-design tools that help evaluate place-based mental
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(including mental health practitioners and teachers). You will contribute to the design or research materials and gather and analyse and present qualitative and quantitative data. You will promote public