366 parallel-processing-bioinformatics positions at University of Saskatchewan in Canada
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solid understanding of feed ingredient characteristics and nutritional value, feed formulation and manufacturing processes, processing techniques (e.g., grinding, pelleting, extrusion, steam flaking
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process. • Acts as key resource for all faculty and staff on relevant university policies and procedures and provides operational advice and support in the areas of financial and program administration
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of preparation and marking time required. Courses may be cancelled due to low enrolment. Application Process: Submit your cover letter and curriculum vitae to edlc_flt_posting@usask.ca . Note that this position is
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-campus courses. Appointment periods include additional days in recognition of preparation and marking time required. Courses may be cancelled due to low enrolment. Application Process: Submit your cover
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courses. Appointment periods include additional days in recognition of preparation and marking time required. Courses may be cancelled due to low enrolment. Application Process: Submit your cover letter and
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courses. Appointment periods include additional days in recognition of preparation and marking time required. Courses may be cancelled due to low enrolment. Application Process: Submit your cover letter and
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to ensure accessibility to colleagues and to students for meeting learning objectives. Ensure effective use of people, materials, and equipment to minimize financial expense of anatomy lab operation. Be
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medical necessity. If you require an accommodation to participate in the recruitment process, please notify us and we will work together on the accommodation request. We continue to grow our partnerships
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speaking Cree. Appointment periods include additional days in recognition of preparation and marking time required. Courses may be cancelled due to low enrolment. Application Process: Complete the CUPE 3287
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skills Excellent computer skills—proficiency with computer applications and software including Microsoft applications, CANVAS, Zoom. Fluency with Python, ArcGIS and QGIS is preferred (for ENVS 815 & ENVS