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<p class="MsoNormal"><b><span style="font-size:13.5pt;font-family:"Helvetica",sans-serif;color:black;letter-spacing:-.1pt;background:white">California and Western US Vegetation Dynamics Postdoctoral Scholar (Climate & Ecosystem Sciences)</span></b>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:black;background:white">Lawrence Berkeley National Laboratory<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:black;background:white"><a href="https://lbl.referrals.selectminds.com/jobs/california-and-western-us-vegetation-dynamics-postdoctoral-scholar-climate-ecosystem-sciences-830">https://lbl.referrals.selectminds.com/jobs/california-and-western-us-vegetation-dynamics-postdoctoral-scholar-climate-ecosystem-sciences-830</a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#4B4B4B;background:white">The Climate and Ecosystem Sciences Division at Berkeley Lab seeks a California and Western US Vegetation Dynamics Postdoctoral Scholar to combine
observations, ecological theory, and numerical model development to explore the impacts of and feedbacks between climate extremes and vegetation dynamics for ecosystems in California and throughout the western US. This role will work within a five-year project
funded by the Department of Energy’s Regional and Global Climate Modeling program to assess the role of climate extremes in governing tree mortality, disturbance-recovery cycles, changing ecosystem function, and transient vegetation range shifts. </span><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#4B4B4B"><br>
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</span><b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:black;background:white">What You Will Do:</span></b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#4B4B4B"><br>
<span style="background:white">Explore how plant hydraulic and other traits govern vegetation distributions in California and the western US. </span><br>
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<span style="background:white">Develop and test process representation within the Functionally-Assembled Terrestrial Ecosystem Simulator (FATES), a demographic, dynamic, vegetation model for use within the land models of the Community Earth System Model (CESM)
and the Energy Exascale Earth System Model (E3SM). </span><br>
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<span style="background:white">Test model predictions against a wide variety of observational datasets, including eddy covariance, remote sensing, and forest inventory data. </span><br>
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<span style="background:white">Use the recent California drought as a test of model predictions of how climate extremes govern vegetation dynamical process rates. </span><br>
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<span style="background:white">Explore the roles of changing climate extremes over the historical period and future projections in governing ecosystem structure and process. </span><br>
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<span style="background:white">Explore the role of vegetation dynamics in governing biophysical and carbon cycle climate feedbacks in California and the Western US, using coupled land-atmosphere configurations within an Earth system model. </span><br>
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</span><b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:black;background:white">What is Required:</span></b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#4B4B4B"><br>
<span style="background:white">PhD in relevant field (e.g., climate science, ecology, plant physiology, forestry, atmospheric dynamics). </span><br>
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<span style="background:white">Proficient coding skills in, at a minimum, data analysis languages (Python, R, matlab, etc), and ideally, in compiled languages such as Fortran. </span><br>
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<span style="background:white">Knowledge of and interest in land surface processes, atmospheric dynamics, and ecological science concepts. </span><br>
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<span style="background:white">Experience with analysis of both observational and model-derived datasets. </span><br>
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<span style="background:white">Particularly interested in candidates with experience working with demographic vegetation models, plant hydraulic models, or variable-resolution climate models. </span><br>
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<span style="background:white">Ability to understand and use state-of-the-art land-surface and coupled land-atmosphere models. </span><br>
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<span style="background:white">Evidence of ability to publish research results in peer-reviewed journals. </span><br>
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<span style="background:white">The posting shall remain open until the position is filled. </span><br>
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</span><b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:black;background:white">Notes:</span></b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#4B4B4B"><br>
<span style="background:white">This is a full time, 1 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years paid
postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. </span><br>
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<span style="background:white">Full-time, M-F, exempt (monthly paid) from overtime pay. </span><br>
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<span style="background:white">This position is represented by a union for collective bargaining purposes. </span><br>
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<span style="background:white">Salary will be predetermined based on postdoctoral step rates. </span><br>
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<span style="background:white">This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically
disqualify an applicant from being considered for employment. </span><br>
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<span style="background:white">Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. </span><br>
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<span style="background:white">Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931,
Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. </span><br>
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</span><b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:black;background:white">Equal Employment Opportunity:</span></b><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#4B4B4B;background:white"> Berkeley Lab is
an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."</span><o:p></o:p></p>
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