184 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Canada
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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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Innovates Summer Research Studentships (SRS) program. The SRS program provides undergraduate students with paid experiential learning opportunities at post-secondary institutes in Alberta, enhancing
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communication skills in English. Proficiency with common business computer programs will be an asset. This position requires a motivated, reliable and well-organized person able to work in a multi-disciplinary
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, StrokeCog can leverage CANTRAIN’s online tools, learning-management systems, training programs and its college of mentors. Applicants apply to the StrokeCog fellowship program through the CANTRAIN portal
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objectives and mandate, inform decision-makers, and, in certain cases, address specific needs of its partners. Learn more about joint initiatives . For a complete list of available supplements and joint
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. To support this effort, the NOMIS Foundation and GIND have established the NOMIS–Gladstone Fellowship Program, which aims to teach outstanding postdoctoral scholars how to creatively combine leading-edge
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knowledge in one or more areas and be enthusiastic to new learning opportunities. Key Responsibilities: The position is responsible for design and implementation of prototypes, electronic control, data
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of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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package valued at $175,000 in the first year and $102,000 in the second year, which includes a salary, research budget, housing allowance, space and more. Learn more about benefits and perks here . Runway
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sciences, and the arts. Fellows of the College for Life Sciences are invited to become part of this “learning community”. Our goal is to promote a kind of science that transcends disciplinary boundaries and