324 machining-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of British Columbia in canada
-
Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Machine Learning Engineer/Scientist Department Human Resources Support | Department
-
Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Profile Non Union Salaried - Research Assistant /Technician 3 Job Title Faculty Computer Systems Technician
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Machine Learning Department Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper
-
to Electrical or Computer Engineering and either be registered, or be eligible to register, as a Professional Engineer (P.Eng.) with Engineers and Geoscientists British Columbia (https://www.egbc.ca
-
literature and computer media searches Work with the team to determine which literature is used by the project Conduct research-related tasks such as identifying and summarizing findings from articles
-
pilot study informed by existing literature, web postings, and available data. Duties & Responsibilities Conduct complex library literature and computer media searches Work with the team to determine
-
in and verifies all pertinent information on registration cards and guest folios to ensure accurate entry of data into computer. Balances cash and receipts and maintains a functional cash float for
-
tracking system building in appropriate safety checks. Creation of source documents and Case Report Forms as directed by the data manager utilizing established SOP and an existing computer design program
-
methodologies) and computer-assisted analysis (e.g., NVIVO, Atlas TI, SPSS, and related software applications). S/he will foster research team development and monitor team activities, including budget and
-
and familiarity with psychiatric questionnaires and interviews; Demonstrated experience with computers and computer software including MS Word for Windows, MS Excel, Power Point and SPSS; Effective oral