26 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"P" Postgraduate positions in Canada
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Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Profile Non Union Hourly - Research Assistant /Technician 2 Job Title CLSA Data Collection Site- Research Assistant 2
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select sources, and systematically extract key information. Responsibilities include creating an Excel database of selected studies (e.g., author, year, keywords, methodology, context) and compiling key
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The purpose of this work is to support the UPlan Operations Team in providing high quality data for the development of a new University strategic plan. Reporting to the UPlan Data Specialist, under
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with graduate students, principle investigators and farm staff. Work Performed Supports the AHWR Manager in collecting routine animal health data [e.g., body condition score (BCS), subclinical ketosis
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in data collection, data coding and data interpretation, as well as present the core findings to stakeholders. Hourly Salary: $18.60 Hours per Week: 5 (Part time) Location: Sherbrooke 550 Supervisor
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Canada AME “M” Licence must be obtained within 12 months. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience Significant experience as a licensed Aircraft
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overseeing daily operations and finances of the youth mental health lab. This position will also lead group analysis of data, assists in preparation of grants, ethics application, summary reports and
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of data, assists in preparation of grants, ethics application, summary reports and publications. WORK PERFORMED: Works in co-operation with members of the research team and following research ethical
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maintaining daily care of laboratory mice; changing and cleaning animal cages, and racks; maintaining mouse data; disinfecting rooms; and general upkeep of the animal facility in accordance with unit Standard
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while supporting effective service delivery models and student information systems. Experience with student record systems is preferred. Knowledge of institutional data management. Strong leadership