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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 8 hours ago
of cardiovascular health and its determinants. · Proficiency in advanced statistical techniques and software (e.g., R, SAS). · A track record of peer-reviewed publications. · Strong time management, organizational
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of textiles and fashion and the context surrounding the 3 R's, reduce, reuse and recycle. Estimated Course Enrolment: 12 students Estimated TA Support: None Class Schedule: Tuesdays 2:00pm - 4:00pm (In Person
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date: September 1st, 2025 End date: December 22, 2025 Position Summary: - Assist the instructor in delivering the interactive and dyadic teaching materials (this will include statistical programing in R
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-motivated and independent work skills Ability to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata
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://forms.office.com/r/JjiDwdTbLQ ). This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form . Questions
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their application by using the following form (Direct link: https://forms.office.com/r/JjiDwdTbLQ ). This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https
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individuals interested in this position must submit their application by using the following form (Direct link: https://forms.office.com/r/JjiDwdTbLQ ). This includes submitting an updated Curriculum Vitae and
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://forms.office.com/r/JjiDwdTbLQ ). This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form . Questions
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this position must submit their application by using the following form (Direct link: https://forms.office.com/r/JjiDwdTbLQ ). This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3
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to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata or SAS (quantitative data analysis software), MS