195 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Saskatchewan
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under its Network Environments for Indigenous Health Research (NEIHR) program. This network of centres is intended to be funded from 2020 to 2035 (15 years; 2 renewal cycles), to create and sustain
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consultation with the successful applicant at the discretion of program. Monday to Friday 9:00 AM to 5:00 PM; no evenings or weekends without special permission. Expected Enrollment Limit: 35 Location: Beauval
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its Network Environments for Indigenous Health Research (NEIHR) program. This network of centers is intended to be funded from 2020 to 2035 (15 years), to create and sustain supportive research
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; ability to exercise judgement, tact, diplomacy and confidentiality; ability to manage competing interests and deadlines of projects; and knowledge of and proficiency with relevant computer applications
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and/or high school students Demonstrated ability to identify funding sources and prepare funding proposals to support new program recommendations. Strong judgment and initiative, tact and diplomacy in
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culinary centre and dining rooms ensuring outstanding customer service and engagement as well as the development, growth and promotion of the residential dining program, campus meal plans, culinary
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, economics, computer science, or related discipline is required. Experience: Demonstrated expertise in econometrics and data analysis Experience working with large, complex datasets Proficiency in scientific
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-oriented team. The ability to work in a fast-paced, multi-tasking, deadline driven environment is essential. Computer skills such as fluency with MS Word and Excel are required. Department: College
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(root phenotyping systems) and computational tasks (genomics). Nature of Work: The successful candidate will pursue research related to root system functionality and its role in plant breeding systems
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to the Director of the Clinical Research Support Unit. Duties focus on computer-based quantitative analysis and reporting and are subject to multiple peak periods that may be stressful due to high volumes of work