42 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at McGill University
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style Attention to detail Clear oral and written communication skills Experience and Education BSc in a related field with relevant coursework 1-2 years additional experience Background in NLP, machine
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biostatistics and epidemiology Expertise in quasi-experimental, econometric methods and other advanced methods (e.g., longitudinal data analysis, trial emulation, interrupted time series, machine learning
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networks, machine learning, Markov models and other computational approaches to biology are important. Familiar with analysis and data visualization. Enrolled in an undergraduate degree. Location
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of Professor Odile Liboiron-Ladouceur, the Research Assistant 2 conducts independent and collaborative research in computational imaging and photonics, with a focus on machine learning based 3D reconstruction
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 6 hours ago
of the Research Supervisor, the Undergraduate Research Assistant will participate in a research project that designs and implements a computer-based task in which a physical control interface is used to manipulate
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Research Assistant 2 position is based in Prof. Amin Emad's research lab in the department of Electrical and Computer Engineering. The RA 2 will work in collaboration with the Research Supervisor to develop
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of Mechanical Engineering seeks a full-time Research Assistant 2 to support a short-term project focused on Vision-Based Localization and Mapping for Autonomous Navigation in Mill Yard. Log-loading machines
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license. • Field experience with crops. • Knowledge of basic computer softwares (including excel, Word, Outlook, etc…) • Bilingual (English and French). Before
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inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as March 1, 2026. Annual Salary: $55,000 Application review: Ongoing until
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA