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foundation models, multi-modal learning algorithms, generative models, and large language models [1], have made seen remarkable advancements in the field of healthcare. It can lead to more accurate diagnosis
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Autonomous Industrial Perception, Monitoring, and Optimisation Using an Agentic Framework with Large Language Models School of Computer Science PhD Research Project Directly Funded Students
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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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providing collisions at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows to study a large range
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and GTC/HiPERCAM and NTT/ULTRACAM high-speed photometric data for a large number of magnetic white dwarf binaries. You will be responsible for developing new methods for analysing these objects, with
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Deadline: Applications accepted all year round Details DUNE is a large international project to design, construct and operate a multi-kilotonne scale liquid argon detector for neutrino physics, neutrino
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began data-taking in July 2024. The particle physics and particle astrophysics (PPPA) group at the University of Sheffield is involved in both the SBND and SBN projects, with a broad range of
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Overview We are recruiting a Research Associate to the ESRC-funded Metascience project AI Peer: Large language models (LLMs) and academic peer review outcomes. The project involves developing and
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system will expect to require 25-45GW of within-day energy flexibility, a large proportion of which will need to be delivered by battery EVs. This flexibility can take the form of dynamically changing
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analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage fingerprints for damage