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contact the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources
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inspiring, and the position represents a unique opportunity for career development for a hard-working candidate. Qualifications Required skills A PhD degree within statistical genetics, applied mathematics
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campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees
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of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and
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PhD students. Contributing to the teaching at the department to build your teaching portfolio for applying to academic positions. Participating actively in the research community, including attending
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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. INTERACT is co-led by Daniel Fuller (University of Saskatchewan), Yan Kestens (Université de Montréal), and Meghan Winters (Simon Fraser University). To learn more about our research program, visit
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collaboration with statistical physicists for data analysis and experimental design. The Associate is expected to generate breakthrough ideas in the assigned area of research, as well as to carry out research in
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning