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LOCATION: Chichester Campus HOURS 37 hours per week MAIN PURPOSE OF THE JOB Under the supervision of the Head of School of Arts and in collaboration with the other Craft Practices Subject Leaders
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large database of relevant trajectories using state-of-the-art GPU technology for astrodynamics systems of interest. Study different representations of the obtained trajectories, such as coordinates
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of the West of England , Bristol where they will join the Music Interaction and Computational Arts (MICA) Lab . The MICA Lab is located within the Bridge , an interdisciplinary research facility funded by a £4M
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Trust as a central case study, this project asks: 1) what can various types of cultural representation (media, literature, art, exhibits) tell us about contemporary relationships with the sea and their
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Funding Source: DTP Stipend: Standard UKRI stipend for 4 years Eligibly: Available to eligible Home fee status and UK domicile EU students Start Date: 2nd September 2024 Project Overview Hybrid architecture composites have attracted growing interests in high-performance automotive and aerospace...
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Our Laboratory is developing novel therapies for the treatment of breast cancer based on normalizing the tumor microenvironment. We are developing novel assays and the state of the art systems
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include (but are not limited to): The role of creativity and art in mental health care. The cultural legacy of Mary Barnes. Lived experience and the ethics of archival representation. Informing contemporary
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of cloud microphysics, including phenomena such as rain initiation. We will conduct cutting edge experiments in the state-of-the-art 10x5 wind tunnel at Imperial (the flagship of the National Wind Tunnel
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UK-based data on unowned cat demographics. This PhD project is interdisciplinary, employing a range of research methods including critical literature searches and reviews, qualitative research and
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at Loughborough has discovered that current state-of-the-art tyre friction modelling approaches provide friction estimates that are highly sensitive to uncertainties in model inputs, such as road surface roughness