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academic track record? If so, consider the Runway Startup Postdoc Program. The Runway Startup Postdoc Program is part business school, part research institution, and part startup incubator. Based
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
fishing strategies, adhering to key sustainability rules. The models will be fitted with data on fish population dynamics, and bioeconomic recommendations will be developed. The project will aim
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Houston. When you apply, we will facilitate the process to identify future postdoc positions that match your interests. If selected for PROS, you will meet with multiple faculty and trainees, connect with
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The Intelligence Community (IC) Postdoctoral Research Fellowship Program (IC Postdoc Program) was established in 2000 to support unclassified basic research in areas of interest to the IC. Funded
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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the salary. Applicants are requested to submit a cover letter outlining their research interests and expertise, an up-to-date CV (including a list of publications), and contact information for three references
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expertise, an up-to-date CV (including a list of publications), and contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will
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contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will continue until the position is filled. Start date is negotiable but
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- Cross-site time-lapse photography (phenocams) - Remote sensing data from a variety of satellite platforms You will quantify shifts in plant phenology across temporal and spatial scales, focusing on how
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large