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in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection
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landfill. We are looking for a passionate researcher who can undertake mechanical design, design and conduct experiments, learn quickly, solve complex problems, develop innovative solutions, and contribute
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complex data and prepare high-quality research outputs and reports A developing research profile within the discipline or area of expertise A developing network of academic, industry and professional
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XRD, and the analysis of complex materials datasets · proficiency in quantitative analysis, computational methods and programming, with experience in AI, machine learning or data-driven materials
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junction and tandem solar cells. Extensive hands-on experience in the fabrication and processing of perovskite single-junction and tandem solar cells. Experience in physical modelling of perovskite single
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Your key responsibilities will be to: develop fundamental theories and enabling technologies for intelligent wireless communication systems design, model and evaluate integrated communication, sensing
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independent research skills under the guidance of senior academic staff apply appropriate research methods in supply chain modelling and plan, prioritise and deliver against project objectives contribute
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career as a mentee and a mentor, and to expand your research network when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material
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modelling. About the opportunity Contribute to cutting-edge research in marine ecology, with a focus on temperate reef systems and climate-driven ecosystem change. Deliver high-impact research outputs
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partners. In this role you will: Design, build and flight-test several (scaled) models of the medical delivery drone(s) De-risk the flight controller of the eVTOL aircraft Optimise the full-scale medical