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, publish in Q1/CORE A* venues, and turn results into demonstrator systems. Supervise & mentor Master’s and PhD candidates and support early-career academics. Engage industry by chairing the Program’s
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enable us to better understand deformation - with a view to anticipation, remedy and possibly prevention. The PhD project is a collaboration between the Faculties of IT and Engineering with the student
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, human society and our agriculture, that are typical of complex systems. Ecosystem and social system modelling therefore, including simulation, can play a key role to understand food production and
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or natural-language processing. Qualifications – PhD (or equivalent) in IT, Data Science, AI or a related field. GenAI expertise – Hands-on experience with LLM APIs, Retrieval-Augmented Generation and prompt
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of relevant postgraduate degree (masters, PhD) in chemical engineering, bioengineering, biotechnology or relevant discipline Knowledge of scale up strategies and downstream bioprocesses. Experience in the use
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problem of antifungal resistance.This project provides comprehensive training in genetic engineering, molecular biology, protein expression, purification, characterisation, and enzymology, essential skills
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. Conduct high-quality research in collaboration with a vibrant academic team working on naval nuclear propulsion, systems engineering, hydroacoustics, experiments, modelling and simulation, hydrodynamics
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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PhD project abstract The adoption of electric vehicles (EVs) is widely accepted as a fundamental approach to mitigating climate change for a sustainable future with cleaner energy and transport
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principles must the task choice be based for this to work? These questions are central to explaining the organisation of natural societies, from insects to humans, and to engineering self-organised systems