<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rachel Slaybaugh on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/rachel-slaybaugh/</link><description>Recent content in Rachel Slaybaugh on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 20 Nov 2024 10:51:28 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/rachel-slaybaugh/index.xml" rel="self" type="application/rss+xml"/><item><title>UC Berkeley Postdoctoral Position in Nuclear Engineering</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2014/12/ucb-nuclear-engineering/</link><pubDate>Sat, 13 Dec 2014 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2014/12/ucb-nuclear-engineering/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>
 The Department of Nuclear Engineering at the University of
 California, Berkeley is searching for one, possibly two high-caliber
 researchers to work with Prof. Rachel Slaybaugh's group in the area
 of computational neutronics. Fields of highest relevance are
 Computer Science, Applied Mathematics, and Nuclear Engineering.
&lt;/p>
&lt;p>
 Prof. Slaybaugh's group researches methods and algorithms for
 solving the Boltzmann transport equation more effectively. These
 methods are often inspired by the physics of the problem at hand,
 developments in computer hardware, or both. Ongoing work involves
 deterministic solution methods, Monte Carlo methods, and hybrid
 methods in which deterministic solutions are used to accelerate
 Monte Carlo solutions. Potential Projects include Angle-informed
 Hybrid Methods, Deterministic "Plug-and-Play" Research Environment
 Creation, Improving Multigroup Cross Sections for Hybrid Methods and
 Monte Carlo on Graphical Processing Units
&lt;/p>
&lt;p>
 We seek a candidate who can start this position as early as January
 2015 but the appointment start date is flexible. The initial
 appointment is 100% time for one year, with the possibility of
 renewal for a second year, dependent upon job performance and
 funding. Starting salaries are in the range of $50,000 to $60,000
 per year and commensurate with qualifications and experience.
&lt;/p>
&lt;p>
 For more information,
 please see &lt;a href="https://aprecruit.berkeley.edu/apply/JPF00618">the full description&lt;/a>
&lt;/p></description></item></channel></rss>