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Field
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development of novel approaches for clinical natural language processing specifically looking at the use of language models for coding clinical texts, and with a particular focus on explainability methods to be
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supporting documentation, proven experience in all of the following areas: natural language processing and machine translation (sequence-to-sequence modelling, NMT, glosses); deep learning, Transformers, and
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-facing materials with the wider project team. This is an exciting opportunity to contribute to conceptual, theoretical and methodological innovation in political communication and natural language
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postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . The Fellow will train under the supervision of Institute leadership and faculty mentors, including but not
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such as quantitative data analyses and natural language processing, working alongside the wider research team and partners. As an embedded role, you will be based within our two NHS partner organisations
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, literature reviews, reports, and case studies. The research fellow should also ensure the successful completion of the publication process, and contribute to translating research results into materials for IMD
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, reports, and case studies. The research fellow should also ensure the successful completion of the publication process, and contribute to translating research results into materials for IMD teaching
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in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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experimentalists Strong written and oral communication skills Preferred Qualifications Experience with human computer interaction, accessibility, or AI fairness and ethics Application Instructions Submit a cover
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in the processing and statistical analysis of scientific data, - Category B driving license, - active command of English (spoken and written). Preference will be given to candidates with experience