8 remote sensing positions in Canada

  • University of Alberta | 18 days ago

    keeping field gear organized while in the field, as required Qualifications Minimum B.Sc.; post-graduate degree in Remote Sensing or Earth Sciences with demonstrated expertise in remote sensing preferred

  • University of Alberta | 6 days ago

    high resolution air photos for a number of forestry applications Reviews and synthesizes literature on forest mensuration and remote sensing Prepares project reports and presentations; presents project

  • University of Alberta | 2 days ago

    for the upcoming academic year to ensure an accurate timetable Ensures that courses for degree programs delivered at remote locations are managed effectively and that all University of Alberta policies and

  • University of Alberta | 3 days ago

    duties as required Qualifications Post-secondary degree in GIS, remote sensing, natural resource science, or related discipline preferred; minimum High School Diploma Minimum one year with ArcGIS

  • University of Alberta | 4 days ago

    Canada. Complementary expertise in one or more of the following areas would be an asset: growth and yield modelling, remote sensing, forest operations, forest pathology, or forest management

  • University of Alberta | 2 months ago

    , administrative and/or event planning experience Experience living or working in remote communities is an asset Experience working and/or desire to work with children and youth Proficiency working with Microsoft

  • University of British Columbia | Vancouver Waterfront Coal Harbour Canada Place, British Columbia | 3 months ago

    DEPARTMENT OF FOREST RESOURCES MANAGEMENT Job Posting: Teaching Assistants 2016-2017 (Term 1 & Term 2) Course No.: FRST 443 – TERM 1 & TERM 2 Instructor: Nicholas Coops Course Name: Remote Sensing

  • University of Saskatchewan | Saskatoon, Saskatchewan | about 2 months ago

    of the following areas: crop phenology, remote sensing, image analysis, plant breeding, crop physiology, agronomy or directly related areas. The candidate must have demonstrated expertise in data analysis of large

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