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chip. A strong background in the design and fabrication of silicon photonic devices, advanced characterization techniques, and an interest in semiconductor materials optimization is highly desirable
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key role in developing and producing advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. In this EPSRC-funded project, you will
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role
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academia on structure-property relations and ageing behaviour of 3D-printed solid materials suitable for high voltage applications. Materials manufactured this way have no track-record when it comes to long
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programming. Experience with sustainable design principles is a plus. This is a unique opportunity to work on pioneering advancements in sustainable aerospace alongside industry experts. If you’re ready to make
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R or a similar software package, and good
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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information about this position in advance of submitting your application. Equality, diversity and inclusion are central to the ethos in the School of Engineering. We give full consideration to applicants who
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in advancing the field of environmental biotechnology through innovative research in biofilm engineering.