532 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Sheffield
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: How does the brain synchronise
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; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project Overview : Importance. Upland fires, driven by climate change and controlled burning, are becoming
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for (including our assessment rubric); details of financial support, training, and placement opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in
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Feedback control of tokamak plasmas via deep learning policies with robustness guarantees (S3.5-ELE-Drummond) School of Electrical and Electronic Engineering PhD Research Project Competition Funded
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of the service. You will be responsible for the planning of media production workshops and online learning content, ensuring they align with academic objectives and are accessible to a wider audience. Your
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Line manager Professor of Biomechanics Direct reports None Our website https://www.sheffield.ac.uk/mac For informal enquiries about this job contact Claire Brockett, Professor of Biomechanics
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inflow through random emergent vegetation. URL: etheses.whiterose.ac.uk:35152 Corredor-Garcia et al. (2025). Hydrodynamics and length-scale distributions of a random cylinder array, https://doi.org/10.1061
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the Ice Sheet and Sea Level System Model (ISSM). and/or The development of automated (e.g., machine learning) approaches for mapping glacier-surface morphologies on Mars. You will join a cutting-edge
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intelligence (AI) is changing how we understand and improve healthcare. This project will use the latest advances in AI to develop new tools that can learn from many different types of medical information