Postdoctoral Scholar In Modeling Climate Impacts On Conifer Reproduction
2 Months ago
Merced, California, United States
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Job Description
The University of California is seeking a Postdoctoral Scholar in Merced, CA, to study climate change impacts on conifer reproduction. Responsibilities include fieldwork, data analysis using the Mastif model, mentoring undergraduates, and manuscript preparation. Candidates should have a PhD in a related field and experience with R programming. The position offers a competitive salary and opportunities for professional development, but it is not a remote job.
About the position
The Postdoctoral Scholar position at UC Merced focuses on researching the impacts of climate change on conifer reproduction. The role involves utilizing the Mast Inference and Forecasting (Mastif) model and collaborating with a global network of forest monitoring plots. The postdoc will engage in fieldwork, data analysis, and manuscript preparation, contributing to significant research initiatives aimed at understanding and improving forest management practices in the context of climate change.
Responsibilities
• Assist with collection of cone count and seed trap data from various locations in California and beyond.
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• Mentor undergraduate research assistants during fieldwork.
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• Analyze tree fecundity and seedling data using the Mastif framework to explore relationships between seed production and regeneration.
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• Collaborate with UC Davis team members to enhance a web-based tool for sharing fecundity predictions with forest managers.
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• Participate in meetings with research teams and stakeholders to discuss findings and strategies.
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• Take an active role in manuscript preparation, with at least one manuscript being the primary responsibility of the postdoc as first author.
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• Present research findings at a professional meeting and propose independent analyses that align with personal research interests.
Requirements
• PhD in biology, ecology, mathematical modeling, or a related discipline.
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• Substantial experience with R programming.
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• Creative, self-disciplined, and motivated as evidenced by reference letters and prior research productivity.
Nice-to-haves
• Experience with Bayesian modeling.
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• Coding experience for Shiny apps.
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• Fieldwork experience.
Benefits
• Competitive salary range of $66,727 - $80,034 per year.
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• Opportunity to work in a collaborative research environment.
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• Access to professional development opportunities through conferences and workshops.
University Of California System
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About this company
Website:universityofcalifornia.edu
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