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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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/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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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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(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
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will support with the creation 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
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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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Commitment to own personal development Problem-solving ability and willingness to develop and design new techniques as required Qualifications Good honours degree (or equivalent) with some subject knowledge in
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activities promoting research impact. contribute to the design, development, and implementation of robotic and AI systems within the scope of the project. collaborate closely with industrial and academic
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EPSRC Postdoctoral Pathway Research Associate ( Job Number: 25001130) Research and Innovation Services Grade 7: - £38,784 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Closing Date
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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in