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Field
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phonemic inventory is unclear. We will use ultrasound imaging of the tongue, acoustic analysis, perception experiments and free classification experiments to investigate the full inventory of NZE vowels
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over time. Develop projects aligned with your expertise, including computational phenotyping using natural language processing and large language models; germline genetic analyses, including GWAS, HLA
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multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will
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. Salary will be commensurate with experience. Organization Overview The Multidisciplinary Institute of Nature Therapies (MINT), University of British Columbia (UBC), is a leading interdisciplinary research
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. ICIQ follows in its selection process a gender equality opportunity policy and a non-discrimination policy on the basis of age, ethnic or social origin, religion or belief, sexual orientation, language
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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motivated candidates for a postdoctoral research position to develop and characterize carbon materials, such as natural graphite, porous carbon and hard carbon, intended for energy storage applications
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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partners, and scientific audiences. Required Qualifications – Experience, Education, Knowledge & Skills PhD in ecology, conservation biology, environmental science, natural resource management, or a closely
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conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in