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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. The Research Fellow will be using Natural Language
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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responsibilities will include: Lead Field Research: Plan and execute field-based surveys to assess natural capital values, including forest structure, composition, and fauna diversity. Analyse and Report: Process
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Type of Contract: Full-time, Funding limited for 36 months A talented and creative Research Fellow is sought to work within the School of Natural and Computing Sciences with Dr. Mark Law on
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). Develop innovative specifications of input and output of postprocessing that account for the stochastic nature of precipitation and for systematic location errors in the original forecasts. Apply
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing
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, natural sciences, computing, informatics and computer science. A PhD (or near to completion) or equivalent experience in Biological or Biomedical sciences, Immunology or Bioinformatics High level analytical