KENTUCKY, LEXINGTON 40506-0027. The University of Kentucky Department of Geography is searching for a tenure-track Assistant Professor of Geography in the area of political ecology to begin August 2014.  Our goal is to build upon and strategically expand the Department’s strengths in nature-society relations. We welcome candidates conducting research in all aspects of political ecology, including one (or more) of the following research themes: gender and the environment; feminist political ecologies; food security; environmental justice; health and the environment; water; waste; pollution and sanitation; urban nature/metabolisms; resource extraction; environmental governance. The successful candidate also will contribute to the College of Arts and Sciences Environmental and Sustainability Studies program (teaching either ENS201 or 202: https://ens.as.uky.edu/). Evidence of excellence or a strong potential for excellence in research and teaching is required. PhD in geography or related discipline required at time of appointment.  Applicants should submit: a statement describing research interests and future research plans; a teaching statement; a complete C.V.; up to four reprints; and arrange for three letters of reference to be submitted. The formal review process will begin on 6 January 2014, and will continue until the position is filled. Apply to Dr. A. Wood, Chair, Search Committee, Department of Geography, University of Kentucky, Lexington KY 40506 [andrew.wood@uky.edu]. Electronic submissions are preferred. For more information on the position and the UK geography program, see http://geography.as.uky.edu/, or contact Dr. Andrew Wood. The University of Kentucky is an Affirmative Action/Equal Opportunity University that values diversity and is located in an increasingly diverse geographical region.  It is committed to becoming one of the top public institutions in the country.  Women, persons with disabilities, and members of other underrepresented groups are encouraged to apply.  The University also supports family-friendly policies.

The Re-enchantment of Photography as a Primanry Geographic Mapping Medium

Bound and gagged: The fetishization of immobility in John Willie's Bizarre

Creating Desires and Configuring Habits: Building the Future of Carbon Forestry in Chiapas, Mexico

Nonlinear Postcards From the Edge: Thersholds and Tipping Points in Geomorphology

"Climate Leviathan"

Watershed processes and environmental change: how future variations in land cover, atomospheric deposition, and climate could affect hydrology and pollutants?

"Counter-cartographies: mapping, art, and the political."

Co-sponsored by the School of Art and Visual Studies

Title: Informatics and Modeling Platform for Stable Isotope-Resolve Metabolomics

Abstract: Recent advances in stable isotope-resolved metabolomics (SIRM) are enabling orders-of-magnitude increase in the number of observable metabolic traits (a metabolic phenotype) for a given organism or community of organisms.  Analytical experiments that take only a few minutes to perform can detect stable isotope-labeled variants of thousands of metabolites.  Thus, unique metabolic phenotypes may be observable for almost all significant biological states, biological processes, and perturbations.  Currently, the major bottleneck is the lack of data analysis that can properly organize and interpret this mountain of phenotypic data as highly insightful biochemical and biological information for a wide range of biological research applications.  To address this limitation, we are developing bioinformatic, biostatistical, and systems biochemical tools, implemented in an integrated data analysis platform, that will directly model metabolic networks as complex inverse problems that are optimized and verified by experimental metabolomics data.  This integrated data analysis platform will enable a broad application of SIRM from the discovery of specific metabolic phenotypes representing biological states of interest to a mechanism-based understanding of a wide range of biological processes with particular metabolic phenotypes.