95 machining-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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. Signs certain documents. Uses a variety of software. Maintains computerized information systems and participates in their development to improve efficiency within the unit. Liaises with computer resources
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building access for authorized users. Uses office equipment such as computer, scanner, microfilm reader, and photocopier. The list of duties and responsibilities outlined above is representative and not a
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digital PET system, 5 SPECT/CT, 1 CZT SPECT/CT, 1 dedicated cardiac CZR SPECT, and 1 BMD machine. The Division also has in-vitro lab equipment with Beta counter for urease breath test and Gamma counter
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contribute to grant applications. Qualifications: PhD required. PhD in 3D-printed sustainable architected materials with expertise in computational mechanics, machine learning, additive manufacturing, and
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. Uses standard office equipment such as personal computer. The list of duties and responsibilities outlined above is representative and not a complete and detailed list of tasks which may be performed by
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instruments is an asset. Strong attention to detail and organizational skills. Ability to maintain accurate records and databases. Basic computer skills, including Microsoft Office applications. Ability
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documenting follow-up actions regarding ongoing files. Proven ability to work with computer applications, and Microsoft Office applications such as Word, Excel, PowerPoint. English and French, spoken and
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
concerning the use of Jaeger, MMP, Minerva, Banner. Explains and demonstrates the use of software, resolves problems within area of expertise, and liaises with computer resource persons as required. Ensures
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flexibility in order to adapt to tight deadlines, frequent changes and demands. Meticulous in documenting follow-up actions regarding ongoing files. Proven ability to work with computer applications, and
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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