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demonstrate: Essential Criteria: PhD in a relevant field (e.g. education, psychology) Proven skills in advanced quantitative data analysis Experience with survey platforms (e.g. Qualtrics, REDCap) Knowledge
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developing solutions for locating and manipulating semi-rigid objects or complex geometry. Investigating machine learning strategies with limited data, including the generation of synthetic data in simulation
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spans the Ross School of Business and the College of Engineering (Computer Science and Engineering, Electrical and Computer Engineering, and Materials Science and Engineering). Required Qualifications
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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are looking for has: An MSc degree or equivalent in data science or computer science. Strong analytical and programming skills (e.g., Python) with proficiency in statistics and machine learning. Experience with
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processes, mass transports, circular material flows and charging constraints. Methodologically, the work may combine geospatial data management, database technology, data science, machine learning, simulation
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organized, prioritize and handle multiple tasks while meeting deadlines set up/type/edit copy in a variety of formats work with staff in other campus offices use computer and learn new software operate
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accordance with the project's applicable regulations. Applicants must hold a Bachelor's degree and be currently enrolled in a Master's programme. Candidates should have experience as a Research Assistant, PhD
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Application deadline: September 25, 2026 To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website (http://careers.ucalgary.ca