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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
. Proficiency in programming and modern ML tooling (e.g., Python, PyTorch); experience with LLMs (e.g., using Hugging Face libraries) is a plus. Ability to reason about complex systems and turn ideas into code
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sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will have coding skills in Python, PIP, JSON and HTML and will be
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to biological or medical research questions, ideally including the analysis of omics datasets. Proficiency in R and Python, as well as experience using high-performance computing clusters, is essential
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Simulator (JULES), land surface model of the UK Earth System model and understand the representation of vegetation carbon and water cycles within the model Use Unix and Fortran and also either R or Python