880 phd-machine-learning "Universidade Católica Portuguesa CATÓLICA LISBON" positions at McGill University
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of Machine Learning for Biomedical Data. Good oral and written communication skills. Hiring Unit: Biomedical Engineering Course Title and Course Number: BMDE 520 - Machine learning for Biomedical Data
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: Numerical Methods in Electrical Engineering; Dennis Giannacopoulos ECSE 551: Machine Learning for Engineers; Narges Armanfard ECSE 557: Intro to Ethics of Intelligent Systems; AJung Moon McGill University is
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health trajectories from big health record data using advanced AI methods Professor Yue Li is hiring one Postdoc for the machine learning and AI research in healthcare. The position will be held
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School Diploma with two years of related experience Previous RLA experience is an asset Bilingual, English and French Other Qualifying Skills and/or Abilities Access to a computer, reliable, high-speed
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: Machine Learning in Network Biology ; Amin Emad ECSE 563: Power Systems Operation and Planning ; François Bouffard ECSE 626: Statistical Computer Vision ; Tal Arbel ECSE 688: Recent Advances in Electrical
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: Learn and apply data analysis methods for genomics, transcriptomics, and epigenetic profiling. Collaborate with senior researchers to interpret complex datasets. Functional studies: Further explore your
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researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments. Education / Experience • PhD/MS degree in statistics, informatics
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). To teach visual
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student - $20/h; PhD student - $23/h + 4% vacation indemnity Hours: Up to 5 hours per week Duration: ASAP to August 31, 2024 Position Context Teaching and Learning Services is seeking currently registered
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of Surgery, Division of Experimental Surgery is seeking a Course Lecturer to teach the Fall 2024 semester; Surgical Education Foundations. Course Title and Course Number: EXSU 603 - Surgical Education