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activity. These losses can occur through sweating, red blood cell haemolysis from repetitive foot strike and/or blood vessel compression during exercise, inflammatory/iron regulation hormone (hepcidin
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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quantitative connections between the continuum parameters and the underlying microscopic mechanics. Numerical study. Implement the models in computational codes to design and optimize morphing strategies. During
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for Engineering Research (MPhil/PhD) and indicate Dr Francesco Restuccia as the supervisor and quote the project title in your application and all correspondence. Please ensure to add the code [FIREMOD] in
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or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom
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Website https://www.manchester.ac.uk/ Street Oxford Road Postal Code M13 9PL E-Mail lucas.cordeiro@manchester.ac.uk Phone +44(0)161-275-8081 STATUS: EXPIRED
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-partnership MIBTP Programme Code for this project: 167D PhD Biosciences FT (MIBTP) How to apply: To apply, please click on the 'Apply' button above, make an account, and submit an application via the university
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: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full time) as the programme of study You will then need to provide
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, please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=flood268 Contact Details anna.murgatroyd@newcastle.ac.uk
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods