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to art historical research through artificial intelligence, immersive technologies, computer vision, computational analysis, digital heritage, or related methods. Salary and benefits £44,247 to £50,379
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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methods, we plan to automatically measure the processes of change in sign languages. In addition, we will create a series of online perception tasks, which help us to understand how signers recognise
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to estimating the future impacts of climate change on migration and health under different climate scenarios and Shared Socioeconomic Pathways (SSPs); and estimate the contribution of anthropogenic climate change
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’ homes and NHS sites when needed. In addition, they will be expected to be flexible to accommodate participants’ needs for attending the intervention sessions. There is an estimated start date of 1st
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generation of accessible and expressive digital musical instruments. You will design, develop, and evaluate novel music and human-computer interaction technologies that combine wearable motion capture
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and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological
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will publish your work at major music technology and human-computer interaction conferences and journals. The successful candidate will be based in School of Computing and Creative Technologies
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Calculator (PsyMetRiC) project addresses this gap. PsyMetRiC is the first physical health prediction tool specifically developed for young people with SMI, and rests on a strong interdisciplinary evidence base