990 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of British Columbia in Canada
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care, and digital health innovation and collaborative partnerships. The incumbent will work on various digital health projects involving both quantitative and qualitative methods and will be involved in
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or complex issues. The incumbent works with faculty, staff, students, and researchers and liaises with numerous University offices including the Dean of Arts Office, Faculty Relations, Human Resources, Arts
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project, “Implementation science study of rural clinical trials.” This project aims to promote rural health equity by building a rural clinical research program situated in Cranbrook. The program will be
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projects, managing local safety program, developing and implementing policies and procedures, and supporting the Senior Manager, Administration on operational elements of special projects. The position also
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orientation and leadership development programs which contribute to a positive and inclusive residence experience for thousands of students each year. The MRE manages the Program Resource Centre; provides
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, >4PB, stored on the National Data Center. The candidate is responsible for exploration and assessments of numerical methods and optimization strategies for analysis stages of the data-analysis pipeline
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of the Garden. In addition Horticulturists may work under the direction of the Principle Instructor of the Horticulture Training Program. Work Performed Carries out tasks related to UBC Botanical Gardens
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focuses on community building and support strategies, as well as content development and facilitation of training activities for graduate program staff and advisors. Strong communication and content
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Applications are now open for the NOMIS–Gladstone Fellowship Program at the Gladstone Institute of Neurological Disease (GIND). Applications reviewed on a rolling basis. This interdisciplinary
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applicant must have a Ph.D. in computer science, and at least 5 years of post-doctoral research experience. Candidates with specific experience in machine learning methods such Deep Learning will be strongly