95 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
-
science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
-
of attestation. Prepares documents such as lists and reports. Uses standard office equipment such as computer and phone system. The list of duties and responsibilities outlined above is representative and not a
-
Research Assistant 2 position is based in Prof. Prof. Songrui Zhao’s research lab in the department of Electrical and Computer Engineering. Position Summary Under the supervision of the Research Supervisor
-
hazardous waste removal; Oversight of computer and general office equipment. Maintaining cell culture cell lines bank; Perform molecular biology experiments, which include performing lentiviral and adenoviral
-
presentations, brochures). Administer computer software licenses and administer distribution of hardware. Maintain space inventory and coordinate with facilities services on matters such as renovations, security
-
, etc) preferable. Computer literacy, required. As one of Montreal's Top Employers, here is what we offer: Competitive benefits package (Health, Dental, Life Insurance) (if eligible) Defined contribution
-
designation). • Teaching experience in a university or corporate context. • Extensive *, current and significant professional industry experience in cutting edge computer information systems design or
-
computer technology. Knowledge of adaptive software is an asset. Must be able to work as part of a team and individually. Must be available for the mandatory 1-hr myCourses training and 2-hr in-person
-
to additionally describe learning outcomes/skills students can expect to develop in this role. Produce an accurate and legible written (handwritten or computer) record of the student’s dictation. Proficient typing
-
. Successful candidates should have the ability to teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization; and will