34 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at McGill University in Canada
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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
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Research Assistant 1 position is based in Prof. Thomas Szkopek’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a highly motivated and technically skilled
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independently and as a member of a research team -Effective organizational skills and attentiveness to detail -Ability to exercise tact, discretion, and confidentiality -Computer proficiency (Word, Excel
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of supplies. Data Acquisition, Analysis & Reporting Acquire, compile, and organize data generated from LC-MS/MS and GC-MS/MS analyses. Use specialized software tools to process, analyze, and interpret mass
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Research Assistant 1 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. This Research Assistant role supports the development of AI-based
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
psychological experiments including computer programming, data analysis, and eye-tracking. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing
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of supporting research documentation. Ensures the quality and functionality of research tools and environments by evaluating simulation performance to support immersive research and learning experiences using
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learning ability to navigate different realms of biology. Maturity, professionalism, and a commitment to advancing biodiversity conservation efforts. Education and Experience: Master's degree in biology or