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are enrolled in a graduate degree in Forest Science and undertaking overseas travel related to their study or research. Benefits This scholarship provides a one-off payment of approximately $3000 (depending
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Prize Maurice and Helen Wood Memorial Scholarship Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 26 Jan 2026
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Research) hereby announces an open call for one research scholarship for a university graduate (BI) under the project FORSAID: Forest surveillance with artificial intelligence and digital technologies
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Resort and Attraction Management (RAAM) Foundation Scholarship The Resort and Attraction Management (RAAM) Foundation Scholarship was established to provide scholarship support to students in the Resort and Attraction Management Program at BGSU. Eligibility: Must have a minimum 2.50 GPA: Must be...
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will work on projects related to avian research in Minnesota, with primary tasks related to ongoing studies on forest bird ecology. Job duties will primarily include field work including conducting point
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– Forest Ecology Job ID #3058 Apply Now Share this job on: Job Information Positions Available 5 Closing Date 11 Mar 2026 Type Casual Location Peace River AB Remote Option None Department Centre for Boreal
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Harold J. (Hal) McGrady Scholarship Scholarship recognizes a second year graduate student who is in the school based track in communication disorders and has expressed interest in working in the school setting after graduation. Eligibility: Second year grad student Criteria: Enrolled in...
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hand saws to conduct bend and break treatments in regenerating forest stands. Have experience driving 4WD trucks on gravel roads. Have vegetation identification training (and experience). Are willing and
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collaboration with Mississippi Park Connection (MPC) has planted 1,000 of trees to restore floodplain forests across the Twin Cities urban forest ecosystems. The overarching goal of this position is the develop a
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methods for their bottlenecks, these steps will then be replaced or supplemented with ML-based surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs