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adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin@ucl.ac.uk ). Informal
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. Additional Information Closing date: 29 June 2025 at 11:59pm. Interviews are scheduled to take place on w/c 7th July 2025. The selection process will involve an interview and a presentation exercise. Further
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: 29 June 2025 at 11:59pm. Interviews are scheduled to take place on w/c 7th July 2025. The selection process will involve an interview and teaching presentation. Further details will be confirmed
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at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all
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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 Electronic Health Records from people
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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPED-2025-06. The supporting
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, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each
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productivity & Ability to work under pressure and to meet deadlines Desirable criteria Experience of processing and analysis of human genomic, transcriptomic (including single-cell) and phenotype data, including
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processing, healthcare, energy and the environment through the application of nanoscience and nanotechnology. Founded in 2003, the LCN began as a joint venture between University College London and Imperial