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knowledge to complement our team. In this role, you will work with others to create glass layers via processes such as flame hydrolysis deposition and various microelectronics and optical fibre fabrication
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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experimental research and practical laboratory skills. A publication record in high-quality, peer-reviewed journals appropriate to your career stage. The following knowledge, skills & experience is desirable
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behaviour change interventions. Your knowledge of health-related behaviour theories will be essential. You will have experience in recruitment, data collection, and thematic analysis, including focus group
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analysis of large datasets using, for example, SPSS (desirable) Knowledge and understanding of cancer survivorship (desirable) An understanding of GCP and research governance requirements to ensure safety
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demonstrate knowledge and understanding of one or more of the following subjects: high voltage engineering, dielectric materials, materials ageing processes, high voltage electrical testing, analytical and
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experience in deep learning, as well as: Demonstrable experience with the development of novel model architectures for deep learning applied to audio data; In-depth knowledge of deep learning, including recent
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is inbodied interaction. Some of the projects you’d be engaged in, towards building your own questions: XB – directed self-experimentation for tuning personal knowledge skills and practice Experiment