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Organizational Unit: Industrial Research Assistance Program Classification: RCO Tenure: Continuing Language Requirements: Bilingual Imperative CBC/CBC Work arrangements: Due to the nature of the work and
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. Experience with natural language processing (NLP) for clinical text and/or deep learning for imaging/time‑series is an asset; comfort with command‑line tools (e.g., macOS Terminal) and reproducible research
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Contract Instructor, ESL Job ID
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period: 30 days APPLICATION PROCESS Applications must be submitted on Workday at: https://mcgill.wd3.myworkdayjobs.com/en-US/McGill_Careers/job/McIntyre--Medical/Assistant-Professor--Tenure-Track
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to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate. APPLICATION PROCEDURE To apply, please submit the following as one PDF file via: https
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excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths (https://www.cinema.utoronto.ca and https
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
important part of the duties. The duties also include leadership and administration, internal and/or external elected positions and external engagement. A combined position would include work at Region Skåne
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process by international reviewers. The candidates will be informed about the decision around mid-February 2025. Your Responsibilities Develop and implement your research project Build up your own research
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expertise in natural language processing (NLP), computational linguistics, machine learning, and/or artificial intelligence methods. Scientists from any discipline, but with a focus on speech and language
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Posted: May 29, 2025 Tier 2 Canada Research Chair Faculty Position in Supercomputing and High-Performance Computing Department of Electrical and Computer Engineering Queen’s University at Kingston