<div dir="ltr"><p class="MsoNormal"><b><span style="font-size:10pt;line-height:107%;font-family:Tahoma,sans-serif">Post-doc position in Synthesis of tree growth response to past climate</span><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif"></span></b></p>
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<p class="MsoNormal"><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif">A post-doc position is available in the Ogle Lab in the Informatics & Computing Program (<a href="http://nau.edu/CEFNS/Informatics-Computing" target="_blank">http://nau.edu/CEFNS/Informatics-Computing</a>)
at Northern Arizona University. The post-doc will participate in a
project aimed at understanding how tree growth is affected by antecedent
exogenous (e.g., past climate) and endogenous (e.g., past ring widths)
factors. Three objectives of the project are:
(1) Develop a stochastic antecedent model (SAM) for quantifying
antecedent climatic and endogenous conditions and their influence on
tree growth. (2) Evaluate the time-scales over which antecedent factors
affect tree growth for multiple species across multiple
sites in the southwestern US. (3) Identify potential physiological
mechanisms underlying the antecedent effects on tree growth. The study
combines large datasets (e.g., tree-ring and climate databases), field
studies, literature data, Bayesian synthesis, and
an individual-based model (IBM) of tree growth. The post-doc will
likely focus on the Bayesian modeling and data synthesis component, but
may also participate in field and lab work depending on interests and
skills. Applicants should have a PhD in ecology,
biology, forestry or related field with strong statistical and
computing skills, or a PhD in math, applied math, statistics or related
field with experience or interest in plant / forest ecology. Questions
about the position should be directed to Dr. Kiona
Ogle (</span><a href="mailto:Kiona.Ogle@nau.edu" target="_blank"><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif">Kiona.Ogle@nau.edu</span></a><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif">). Applications must
be submitted on-line through NAU’s Human Resources Web Page (go to </span><a href="https://nau.edu/Human-Resources/Careers/Applying-Hiring-Information/" target="_blank"><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif">https://nau.edu/Human-Resources/Careers/Applying-Hiring-Information/</span></a><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif">
and click “Staff Openings” and search for Job ID 602216), or <span style="background:yellow none repeat scroll 0% 0%">
click here</span>. Complete applications must include: (1) cover letter
outlining interest in position and relevant skills, (2) curriculum vita,
(3) names and contact information for 3 references, and (4) 2-3 writing
examples (preferrably published papers or
papers in press, but this could also include dissertation chapters).
Review of applications will begin <span tabindex="0" class=""><span class="">October 21, 2015</span></span>.</span></p>
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<p class="MsoNormal"><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif;background:yellow none repeat scroll 0% 0%">Link to job:</span><span style="font-size:9pt;line-height:107%;font-family:"Arial",sans-serif"></span></p>
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<p class="MsoNormal"><span style="font-size:10pt;line-height:107%;font-family:"Segoe UI",sans-serif"><a href="https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=602216&PostingSeq=1" target="_blank">https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=602216&PostingSeq=1</a></span></p><div class=""><div id=":pl" class="" tabindex="0"><img class="" src="https://ssl.gstatic.com/ui/v1/icons/mail/images/cleardot.gif"></div></div><span class="im">
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<div style="font-family:Tahoma;font-size:13px">-------------------------------------------------------<br>
Kiona Ogle<br>
Associate Professor<br>
Informatics & Computing Program<br>
Northern Arizona University<br>
Flagstaff, AZ 86011<br>
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