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interdisciplinary PhD is highly desirable. PhD equivalence is acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan
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training and fine-tuning large language models (LLMs) to extract structured clinical concepts from unstructured EHR, pathology, and radiology reports. The role involves publishing in high-impact, peer
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application. This year applications will be considered in the following subjects: Modern and Medieval Languages; Classics; Linguistics; Asian and Middle Eastern Studies. An Early-Career Research Fellow is
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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Application Deadline 26 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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/rehabilitation applications. It is expected that the application has the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality, applied
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4