19 machine-learning-"https:"-"https:"-"https:"-"https:" research jobs at McGill University
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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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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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in colocalization analysis and CT-scanning is an asset. Experience in machine learning is an asset. Start date January 2026. Contract of 2 years, renewable upon the availability of funding and other
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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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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning
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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 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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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