397 computer-science-tenure-"https:"-"https:"-"https:"-"https:" Postgraduate positions
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participation in dissemination of research findings with PI (If desired) Qualifications Enrollment in an undergraduate degree program at MRU is preferred Successfully completed a Research Methods course that
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. Completion of a bachelor’s degree within the past three years (the degree must be awarded prior to commencing the Graduate Program). Relevant degrees may include, but are not limited to, Social Science, Public
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Research Assistant 2 position is based in Prof. Prof. Songrui Zhao’s research lab in the department of Electrical and Computer Engineering. Position Summary Under the supervision of the Research Supervisor
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prediction. Responsibilities include data collection, analysis, and reporting, as well as collaboration with researchers and project partners. Applicants should hold a bachelor’s degree in Computer Science
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, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Excellent interpersonal, oral, and written communication, organization, and problem-solving skills. Basic computer
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facilities such as those at the Main Campus and South Campus greenhouses and Totem Field Station is vital to the VPRI portfolio and researchers from the Faculties of Science, Forestry and Land and Food Systems
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the Society & Culture Department. The Research Assistant will be working in a research team that contributes to IPS’ research programme on inequality and social mobility, including the evaluation
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understanding, policy, practice, or relationships across the two countries. Student type Current Students Future Students Faculties and centres Faculty of Science & Engineering Science courses Engineering courses
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field - such as cognitive science, psychology, linguistics, neuroscience, or computer science - and relevant research experience. ● Experience working with vulnerable populations or equivalent
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particular emphasis on building and leveraging biorepository and registry infrastructure to support collaborative, data-driven science. The Gastrointestinal Tumor Biorepository (GITB) is a core resource of the