We are currently receiving proposals for PhD projects in biodiversity science, and in non-Natural Sciences and Engineering domains that align with BIOS² program’s objectives.
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Category: Opportunities
Call: BIOS² Funding Program for PhD project in partnership
The BIOS² Research Funding Program in partnership supports PhD projects proposed by non-academic partner. The overall theme of the call is “improving biodiversity assessments with new computing technologies”.
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Call: Open PhD projects for NSE and non-NSE students
The BIOS² Research Funding Program supports PhD projects for NSE and non-NSE students proposed by academic members. Selected projects must align with the objectives of the training program.
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Call: Undergraduate scholarship for training in computational ecology
The Undergraduate scholarship program for training in computational ecology is now open.
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PhD position on Key Biodiversity Areas and species range modelling
Wildlife Conservation Society Canada (WCSC) is leading a collaborative effort to identify and establish a comprehensive national network of Key Biodiversity Areas (KBAs) in Canada. WCSC will identify KBAs, which are sites that will contribute significantly to the global persistence of biodiversity, through the application of a new global standard, which is currently being introduced and adapted to the Canadian context.
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Working Group in Biodiversity Synthesis: Call for Application
CIEE and BIOS² are co-sponsoring a data-driven working group in biodiversity synthesis. We invite graduate students from CIEE Member Universities and BIOS² Universities to submit an application for a one week working group at UBC May 4-8, 2020. Applications due: March 6, 2020.
The objective of this activity is to provide graduate students the opportunity to get experience in team projects oriented toward biodiversity synthesis and data analysis. Providing students a stimulating training environment is central to the activity. Working groups consist of a small group of researchers who meet in person in a single location, and work intensively and collaboratively on a research question, using best practices in team science and digital collaboration.
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