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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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topics would be particularly welcome: statistics, data mining, machine learning, stochastic modelling, forecasting, simulation. Applications are by letter of no more than two pages setting out why you
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simulation and cosmological inference framework for the ZTF survey; and measuring and modelling environmental biases, including how these interact with the survey's selection effects. The output of
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dark energy. The work will primarily focus on two closely related areas: developing a simulation and cosmological inference framework for the ZTF survey; and measuring and modelling environmental biases
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simulation effort will be the foundation underpinning every rate, host-galaxy and cosmological result in TRANSCEND. Host galaxies of transients (University of Southampton): derive host-galaxy properties
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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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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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. 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