1,029 engineering-computation "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at McGill University
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Areas: Astrophysics / Adaptive Optics , Astronomy , Astrophysics , Astrophysics and Gravitational Physics , Black holes , Computational Astrophysics , Cosmology , Dark Matter , Exoplanet Imaging
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and Computation Instructor: Brigitte Pientka Course Number: COMP 527 Number of T.A. positions available (estimate): 3 Hours of work (per term): 90 Dates of Appointment: Starting: January 05, 2026 Ending
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Education program (QEP) and the curriculum of the partnering school board with whom this course is being giving in collaboration. Familiarity with the 13 professional competencies specified in the Ministère
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program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence
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: Software Engineering Project Instructor: Joseph Vybihal Course Number: COMP 361D2 Number of T.A. positions available (estimate): 5 Hours of work (per term): 90 Dates of Appointment: Starting: January 05
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), the incumbent will join the GCI research support team and the Biobar (https://www.goodmancancer.ca/en/biobar ). Performs routine tasks that are straightforward in nature, following clearly defined procedures and
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description. Knowledge of the Quebec Education program (QEP) and the curriculum of the partnering school board with whom this course is being given in collaboration. Familiarity with the 13 professional
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considered). Experience Expert knowledge of course content as outlined in the course description. Knowledge of the Quebec Education program (QEP) and the curriculum of the partnering school board with whom
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or professional experience related to the course content may be considered) Experience Expert knowledge of course content as outlined in the course description. Knowledge of the Quebec Education program (QEP) and
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis