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needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 4th March 2026 Languages English English English Postdoctoral Fellow in NLP
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representations and translated into written language. Your work will sit at the interface between sensor data, sign language structure, and NLP, enabling end-to-end sign language translation that goes beyond simple
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networks, natural language processing (NLP), and multimodal learning (ML). Independently read and critically evaluate existing literature on NLP and ML. Implement neural networks and carry out experiments
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analytical and problem-solving skills, with attention to reproducibility and open-source best practices. Experience or demonstrated interest in applied NLP for related contexts (e.g., finance, ESG, corporate
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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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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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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Informatics, Health Data Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated
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. The methodological approach will combine: a) systematic content analysis; b) natural language processing (NLP) techniques; c) comparative and temporal analysis of discursive trends. This research work will combine
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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing