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these discoveries to better understand the astrophysical origins and physical emission mechanisms of this enigmatic phenomenon. Qualifications: PhD in Physics Before applying, please note that to work at McGill
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students in the lab Qualifications: PhD in Chemistry/Physics Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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. - Attend workshops, seminars, and conferences. Qualifications: PhD in Chemistry 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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sessions, and public seminars for project stakeholders Education and Experience: The successful candidate must possess: PhD awarded in the past 5 years in a related field such as urban planning, engineering
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Position Summary: Research and build a superfluid optomechanical dark matter detector Qualifications: PhD in Physics or related field Before applying, please note that to work at McGill University, you must
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Position Summary: Conduct phase-field modelling of microstructure evolution in two-phase ferritic steel in partnership with Hydro-Québec. Qualifications: PhD in Physics or related field Before applying
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assessment of procedural and technical performance Implement and optimize on-device and edge AI solutions for real-time or near-real-time inference Work closely with clinical and technical collaborators
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Position Summary: Help the research group study the behaviour of dark matter Qualifications: PhD in Physics or Astrophysics Before applying, please note that to work at McGill University, you must be both
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data