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colleagues at Public Health to evaluate the development of a Mental Wellbeing approach that is designed with and delivered by the Voluntary, Community, Faith and Social Enterprise Sector. The learning from
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into the SKA era. Screening Criteria Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates
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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
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compensated for this critical service to society. In this project we will study the prospect of financially compensating private landowners for more biodiverse Swedish forests. There are several tools
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
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-based applicants eligible for home fees. At Edge Hill University we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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your CV. A copy of your degree or expected date of graduation. At least two references. The position is available effective as of September 1, 2025. For more information regarding this position, you are
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools