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<span class="x_elementToProof ContentPasted0" style="font-size: 11pt; margin: 0px; background-color: rgb(255, 255, 255);">Post-doctoral position in Climate Data Analysis through the Oak Ridge Institute for Science & Education (ORISE) and the U.S. Geological
Survey, Northwest Climate Adaptation Science Center.</span></div>
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Application deadline: October 27, 2023</div>
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<font face="Calibri Light, Helvetica Light, sans-serif" style="color: rgb(0, 0, 0);"><span style="font-size:11pt;margin:0px" class="ContentPasted0">Apply through Zintellect: </span></font><a href="https://www.zintellect.com/Opportunity/Details/DOI-USGS-2023-11" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" id="OWA74f1ba27-99a8-c609-12e0-0ae524255055" data-linkindex="0" style="margin:0px" class="OWAAutoLink ContentPasted0"><span style="font-size:11pt;font-family:"Calibri Light", "Helvetica Light", sans-serif;margin:0px">https://www.zintellect.com/Opportunity/Details/DOI-USGS-2023-11</span></a><span style="font-size:11pt;font-family:"Calibri Light", "Helvetica Light", sans-serif;margin:0px" class="ContentPasted0"> </span></div>
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<b class="ContentPasted0">Position Description:</b> </div>
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In partnership with NatureServe, this project will provide technical assistance and research on climate data analysis, statistical model development and testing, and human-computer interaction applications in support of developing a next-generation version
of the Climate Change Vulnerability Index (CCVI). The CCVI is extensively used by state and other wildlife management partners for conducting climate change vulnerability assessments (CCVAs) for species. CCVAs provide important information for prioritizing
and planning conservation management under a changing climate. However, advances in science dictate that the tool be updated and improved. This project will contribute to the development, testing, and release of a modern version of CCVI that will be web hosted,
use the latest CMIP climate data, and support collaboration and data sharing. Additionally, the updated version will be made more robust with improved accounting for uncertainty and incorporation of new science on climate change vulnerability (e.g., adaptive
capacity) and vulnerability assessments, along with a better understanding and presentation of the sensitivity of the CCVI algorithm to its various inputs. The project will involve:
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<div style="margin:0px"><span style="margin:0px" class="ContentPasted0">1. Collation and critical evaluation of updated climate exposure variables and climate models (and climate model ensembles), including sources of uncertainty and appropriate scales or
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<div style="margin:0px" class="ContentPasted0">2. Quantitative sensitivity analysis of the independent and combined effects of climate exposure variables on the CCVI algorithm and resulting vulnerability score. Of particular interest is the relationship between—and
relative importance of—exposure (abiotic conditions) and adaptive capacity (i.e., biological traits) variables in their influence on the resulting score.</div>
<div style="margin:0px" class="ContentPasted0">3. Evaluating the need for variable weighting (or down-weighting) the importance of variables in the CCVI algorithm.</div>
<div style="margin:0px" class="ContentPasted0">4. Pilot testing the use of climate scenarios to guide selection of exposure metrics.</div>
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The appointment is<span class="ContentPasted0"> </span><b class="ContentPasted0">full-time</b>. <span style="margin:0px" class="ContentPasted0">The participant will receive a monthly stipend based on education and experience. The current stipend for this opportunity
is<span class="ContentPasted0"> </span><b class="ContentPasted0">$84,923 per year plus an insurance supplement estimated at $18,936. </b> </span>
<div style="margin:0px"><span style="margin:0px" class="ContentPasted0">Citizenship Requirements: This opportunity is available to<span class="ContentPasted0"> </span><b class="ContentPasted0">U.S. citizens<span class="ContentPasted0"> </span></b>only.</span><br class="ContentPasted0">
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<span style="font-size:11pt;font-family:"Calibri Light", "Helvetica Light", sans-serif;margin:0px" class="ContentPasted0">The qualified candidate should have<span class="ContentPasted0"> </span></span><span style="font-size:11pt;font-family:"Calibri Light", "Helvetica Light", sans-serif;margin:0px"><b class="ContentPasted0">received
a doctoral degree in one of the relevant fields listed in the eligibility requirements section or be currently pursuing the degree with completion before December 31, 2023.</b></span><span style="font-size:11pt;font-family:"Calibri Light", "Helvetica Light", sans-serif;margin:0px" class="ContentPasted0"><span class="ContentPasted0"> </span>Degree
must have been received within the last five years. </span><br class="ContentPasted0">
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<span class="x_ContentPasted1" style="font-size:11pt;font-family:"Calibri Light", "Helvetica Light", sans-serif;margin:0px"><b class="ContentPasted0">Preferred Skills:</b></span></div>
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<div style="margin:0px"><span style="margin:0px"><span style="margin:0px" class="ContentPasted0"> - Experience with principles, theory, and concepts of the climate system and climate models, including routine access, use, and interpretation of climate model
output.</span><br class="ContentPasted0">
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<div style="margin:0px"><span style="margin:0px" class="ContentPasted0">- Experience in advanced statistical methods, analysis of climate models, spatial analysis using R, Matlab, Python, or similar programming.</span><br class="ContentPasted0">
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">- Understanding of climate model downscaling approaches, climate projections, and sea level rise projections.</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">- Ability to manage, manipulate, analyze, and distribute very large climate datasets.</div>
- Experience studying climate impacts to natural resources and communication/translation of climate concepts to non-experts.</span></div>
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<span style="font-family: Cambria, Georgia, serif;">Lindsey L. Thurman, PhD</span></div>
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<span style="font-family: Cambria, Georgia, serif;">Partnerships Ecologist</span></div>
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<span style="font-family: Cambria, Georgia, serif;">Northwest Climate Adaptation Science Center</span></div>
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<span style="font-family: Cambria, Georgia, serif;">U.S. Geological Survey</span></div>
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<span style="font-family: Cambria, Georgia, serif;">Corvallis, OR 97331</span></div>
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<span style="font-family: Cambria, Georgia, serif;">541-224-1638 (work)</span></div>
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