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PhD Programme in Accounting and Finance at Lancaster University This site uses cookies to store information on your computer. Some of these cookies are essential, while others help us to improve your
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store information on your computer. Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used. For more detailed
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AI approaches for automated behavioural monitoring from underwater video, contributing across computer vision, machine learning, edge AI and interpretable decision-support systems. These methods will
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(or near completion) in astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in supernova cosmology, statistical or systematic
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(Python); research experience in supernova cosmology, statistical or systematic-uncertainty analysis, or large-scale survey science. Excellent communication and teamwork skills. Application
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include examples to show your experience and/ or skills in that area. Our library vision, The Library Towards 2025 , sets out our ambitions to be a library that is connected, that goes beyond
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addition, you will support PSU research by taking a leading role in overseeing the operation and maintenance of key infrastructure in the facility and in employing and developing new computer systems to
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supporting a diverse range of projects from various funders. You must be able to demonstrate your experience of working in a financial environment using financial computer systems to investigate, analyse
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develop people, build capability and lead teams through periods of change with a clear and positive vision. You will be confident working strategically while maintaining a strong focus on operational
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. Developing high quality and impactful publications. Collaborating with academic, industry partners and other EPSRC projects. The successful candidate will have a PhD in Computer Science or equivalent with