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evaluate NLP models across multiple linguistic and cultural contexts, including low-resource and Indigenous languages, using privacy-preserving and equity-focused AI frameworks. The UBC mHealth lab has a
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communities. The Fellow will have the opportunity to develop and evaluate NLP models across multiple linguistic and cultural contexts, including low-resource and Indigenous languages, using privacy-preserving
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and radiology images. Designs NLP models, including large language models (LLMs), for analyzing pathology reports and other clinical text. Collaborates with clinical partners to identify and refine real
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their research independently and free from administrative constraints. The working language is English. Each fellow is a member of both a university department and the Zukunftskolleg. Additionally, fellows
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Qualifications Successful candidates will have PhD completed within the last 5 years in computer science, data science, biomedical engineering, computational linguistics, medical informatics, or a related
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the results, and apply the models in clinical environment. The incumbent’s responsibilities include: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with
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for positive societal, cultural and economic impact and ethical considerations. The Postdoctoral Fellow will join a research team whose thematic interests are focused on melding AI and Indigenous language