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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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across the University, with stakeholders and key partners to deliver enterprise-wide products and services in line with strategic aims. Main duties and responsibilities Work with Product Teams, Developers
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Overview We have an exciting opportunity for a motivated and enthusiastic individual interested in biodiversity, evolution, neuroscience and machine learning to join the Leverhulme Trust funded
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advancement. The Marketing and Audience Development Officer plays a key role in overseeing and driving marketing activity for our two curated performance festivals, the Enable US Project and University
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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responsibilities Work on the ongoing development of our VLE and the surrounding components and integrations Design and build ETL and event-based integrations Ensure systems are kept up to date and secured regularly
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Understanding Adolescent Paranoia and Increased Risk of Developing Psychosis School of Psychology PhD Research Project Directly Funded UK Students Dr Christopher Taylor Application Deadline: 21
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Overview We have an exciting, cross-disciplinary role, working as part of a team to develop a novel insect tracking system that could lead to new insights in animal intelligence and have spin-out