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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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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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, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
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-based genome editing tools into next-generation gene therapies to treat those untreatable human genetic diseases, such as cystic fibrosis and liver cancer. To achieve this, we will engineer advanced
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Training Group (RTG) “Activation of anti-Microbial Effectors (ACME)” (coordinator: Dirk Schlüter, Hannover) funded by the German Research Foundation. The central aim of the program is to give highly
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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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learning frameworks previous experience in natural language processing, sound-based machine learning, development and deployment of health technology software . interest and previous experience in
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile