22 algorithm-development-"Prof"-"Prof" PhD positions at University of British Columbia in Canada
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are offered to Canadians, permanent residents of Canada, and citizens of developing countries enrolled in a master’s or a doctoral degree at a recognized university OR who have completed a master’s or a
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Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated
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/decision-making includes supporting the development of legislation (Acts), regulations or policies that affect the practice(s) of natural resource management in Canada. Further Information The College
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candidate will support experimental research focused on the synthesis and characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor
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characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor prototypes, conducting laboratory and field evaluations, and analyzing
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Change, Glaciology, Modeling, Imaging, Algorithms and Combinatorial Optimizations. Eligibility to hold scholarship funding: Recipients must be offered and accept admission to a UBC PhD program in
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Zoology (PhD) Physiological development of the amphibian gill; do the gills take on a dominant role for ion regulation before gas exchange as observed in developing teleost fish? Marie Boulinaud Doctor
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by Peter Wall, for graduate students whose thesis/dissertation research relates to one of three specific areas of interest: sustainable approaches to and development of the general urban environment
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/for Indigenous peoples in Toronto (Tkaronto) Kirsten McIlveen Doctor of Philosophy in Geography (PhD) Prison Paradox and Post-Secondary Education: Challenges to Developing Innovative Curriculum in Women’s Prisons
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northern Canada Elise Legarth Doctor of Philosophy in Atmospheric Science (PhD) Development of an improved methodology for estimating probable maximum precipitation and flood: Tested and validated in British