Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of British Columbia
- University of Waterloo
- Dalhousie University
- Ryerson University
- Nature Careers
- University of Victoria
- Fields Institute
- McGill University
- Natural Sciences and Engineering Research Council of Canada
- University of Alberta
- University of Lethbridge
- University of Saskatchewan
- 2 more »
- « less
-
Field
-
such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant discipline (e.g. public
-
. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related
-
. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop their leadership skills in the laboratory by participating in overseeing
-
biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
-
set the research direction and computational approach to the data. Qualifications: - PhD in Biology, Bioinformatics, Computer Science, Statistics or a related quantitative field. - Experience working
-
of their programs. MA and PhD students may hold a CSRS fellowship only once during each degree program. Applicants may apply for fellowships at other centres at the university; however, because this fellowship
-
Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self
-
: A PhD in forest operations, silviculture, forest management or a related field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis
-
of data, creating diverse training opportunities. Interested applicants should have a PhD in biology, molecular biology, biomedical engineering, biotechnology, materials science, computer
-
are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and