536 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Sheffield
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] Offshore Wind Scotland (2025) Floating wind in Scotland https://www.offshorewindscotland.org.uk/the-offshore-wind-market-in-scotland/floating-wind-in-scotland [2] Ørsted (2025) “Ørsted’s experience with
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instrumentation for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: https://www.sheffield.ac.uk/royce-institute https
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University website https://sheffield.ac.uk/hpdh/postgraduate/phd-study/history to check that you meet the entry requirements for PhD study and submit your application via PG Online https://sheffield.ac.uk
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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postgraduate research funding webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate
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link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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combination of physics-based, and data-driven AI-based approaches employing neural-networks and machine learning, this project will develop and validate a multi-time scale DT concept for advanced condition
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Machine Learning techniques. As Research Associate you will have a research leadership role in the group, and will assist in day-to-day supervision of post-graduate research students. You will collaborate