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. The next key step is identifying sensors for many new metabolite and drug targets. Our goal is to use a range of novel in-house experimental methods to discover hundreds of new sensors and in parallel
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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diversity and representation at all levels of teaching, learning and research. Nominees must be nominated by their prospective Faculties/divisions following the timeline and processes outlined below. While
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: Indigenous Truth policy and the Standing Committee in accordance with the processes developed to enact the policy. Successful candidates that assert Indigenous membership/citizenship will be asked to complete
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Postdoctoral Fellow to advance cutting-edge research at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC
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, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will
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competitive salaries, commensurate with the qualifications and experience of the candidate. APPLICATION PROCEDURE An application package should include: A letter of application outlining the applicant’s
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initiatives, see SSHRC’s funding search tool . Unless otherwise indicated, there is no separate application process for most initiatives and supplements. However, candidates must indicate they wish to be
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language processing, large language models and foundation models to address real-world challenges in: (1) clinical practice and patient experience and (2) biomedical innovation and translational sciences
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly