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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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A position exists for a Postdoctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics modelling the decontamination of porous and absorbent material. This project
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techniques. Additional expertise in studying autophagy and using preclinical mouse models of cardiovascular disease are highly desirable. This is a full time post (35 hours per week), and you will be offered a
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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in infectious disease epidemiology/ evolutionary biology and bioinformatics, with the ambition to advance global public health. In the first year, the successful candidate will incorporate models
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conferences and communicate complex information to specialists and within the wider academic community. Experience in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of