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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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project empowering carers through digital mental health solutions Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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the proportion of individuals within different ethnic groups classified as high risk. - Develop multistate survival models (MSM) to estimate transition parameters between cancer progression states across risk
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-based data. Experience in automated collection of unstructured and structured data in different formats, and translating these into a standard format for analysis, interpretation, and dashboard
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research programme funded by the Academy of Medical Sciences Springboard award. This project aims to explore the role of these neighbouring glycoproteins in neurotrophin-mediated neuronal development as
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different start date: Position 1 Start Date: 1st September, 2025 Position 2 Start Date: 1st November, 2025 Working arrangements: 10 hours per week for 25 weeks This is an in-person role based in Durham
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. This could conceivably be achieved by for example, exploiting differences in pH occurring between storage/usage and post-use in the environment, or by specifically engineering biodegradable sites
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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engineering or another relevant field applicable to the measurement technology development. For this position, we are unable to consider significantly different backgrounds, such as biology- and simulation