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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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an application submitted in English. Job Description Main function To work within research projects, to contribute to the research record of the School through commitment to carrying out research leading
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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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efficiently, coordinating tasks relevant to all SUMIT activities at regional level. SUMIT is a project supported by PEACEPLUS, a programme managed by the Special EU Programmes Body About the person: Essential
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a project supported by PEACEPLUS, a programme managed by the Special EU Programmes Body About the person: Essential Criteria: Education and Qualifications: An upper second class honours degree
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(R3) Country United Kingdom Application Deadline 23 Sep 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
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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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date: 19th June 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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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
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progress and output reports and ensure they are escalated to the Programme Manager on time for reporting and monitoring to funders. They will maintain a personal research plan by, managing and undertaking