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Positions Available


If you are interested in posting your announcement about a position that is affiliated with NIMBioS, please contact Catherine Crawley at ccrawley_at_nimbios.org.


Postdoctoral Fellowship in Spatial Modeling at NIMBioS

The National Institute for Mathematical and Biological Synthesis (NIMBioS), located at the Univ. of Tennessee, Knoxville, is currently accepting applications for a two-year postdoctoral fellowship in spatial modeling with an interest in GIS, remote sensing, large spatial datasets and spatial analysis.

An applicant may propose to make advances on conceptual or methodological problems related to spatial modeling or to the application of spatial analyses to advance management of the environment and natural resources or of human or environmental health and diseases. Possible topics include, but are not limited to:

  • Developing new tools for handling and analyzing Big Data (e.g., NEON)
  • Spatial, landscape explicit transmission of diseases
  • Linking fine scale and large scale ecological processes
  • Physiology trait mapping and links with climatic changes or extreme weather events
  • Spatial modeling of biodiversity and ecosystem services

Reflecting the interdisciplinary nature of this position, candidates with a PhD or equivalent in biology, mathematics, statistics, computer science, geography, environmental science, epidemiology, civil or environmental engineering, or any other relevant field will be considered.

Support: annual stipend of $51,000, full University of Tennessee employee fringe benefits, and an annual travel allowance of $3,000.

Deadline: The deadline is December 18, 2016, for fellowship research beginning late spring 2017. All letters of recommendation must be submitted before the request deadline.

How to apply: Follow the guidelines at http://www.nimbios.org/postdocs/.


Postdoctoral Fellowship in Computational Systems Biology at NIMBioS

The National Institute for Mathematical and Biological Synthesis (NIMBioS), located at the Univ. of Tennessee, Knoxville, is currently accepting applications for a two-year postdoctoral fellowship in computational biology with an interest in using systems approaches to solve problems in cell biology, cancer biology, immunology or developmental biology.

An applicant may propose to use modeling, simulation, or analysis to produce useful biological information and concepts that current theories cannot provide. The proposed study should address biological problems involving complexity and dynamics of networks at molecular and/or cellular levels. Examples of the biological topics include, but are not limited to:

  • Cell cycle progression, cellular senescence, cell differentiation and death.
  • Plasticity of cells during development or cancer progression.
  • Cancer metastasis and dormancy.
  • Dynamical response of immune system.
  • Development of immune cells.
  • Embryonic development.
  • General theories concerning biological networks.

Examples of the proposed computational methods include, but are not limited to:

  • Ordinary Differential Equation (ODE), Partial Differential Equation (PDE), and stochastic methods.
  • Multiscale modeling.
  • Spatiotemporal dynamical modeling.
  • Parameter optimization.
  • Analysis using bifurcation theory, landscape theory, and parameter-free methods.
  • Processing of omics data for dynamical modeling (e.g., genomic, transcriptomic, proteomic data).
  • Integration of multiscale data for dynamical modeling (e.g. transcriptomic, epigenomic, subcellular, cellular data).

Support: annual stipend of $51,000, full University of Tennessee employee fringe benefits, and an annual travel allowance of $3,000.

Deadline: The deadline is December 11, 2016, for fellowship research beginning late spring 2017. All letters of recommendation must be submitted before the request deadline.

How to apply: Follow the guidelines at http://www.nimbios.org/postdocs/.


Assistant Professor Position in Microbial Systems Biology, University of Tennessee, Knoxville

The Department of Microbiology and the National Institute for Mathematical and Biological Synthesis (NIMBioS) at the University of Tennessee, Knoxville invite applications for a tenure-track faculty position at the rank of Assistant Professor in the area of Microbial Systems Biology, with a primary appointment in Microbiology. We seek applicants whose research will center on modeling the metabolism, regulation, evolution, and other emergent properties of microbial systems on the intracellular, community, or ecosystem level. Such research should integrate multiple types of experimental data, possibly including biomolecular "omics" data, into a mathematical framework for microbial systems. It is anticipated that candidates will have experience and interests in the synthesis of experimental and observational data through quantitative modeling and theory: a competitive start-up for creating a mathematics or theory based research group to collaborate with empiricists will be available. The successful candidate will address questions that complement existing strengths in the Microbiology department, and the cross-disciplinary approaches supported by NIMBioS. There also exist opportunities to interact with groups and facilities in the nearby Oak Ridge National Laboratory.

A PhD in a computational, statistical or mathematical sciences or a biological field as well as relevant postdoctoral research experience are required. The successful candidate is expected to establish an innovative, externally-funded research program and contribute to the departmental teaching mission at the undergraduate and graduate levels. The position will start as early as August 1, 2017, and the salary will be competitive.

Applications should include a brief cover letter, CV with list of publications, a 2-3 page outline of research interests, and a separate 1-2 page description of teaching interests. Please provide the contact information for three individuals who are familiar with the applicant and would be willing to provide letters of recommendation. Please email the application as a single pdf file to MicroNIMBioS@nimbios.org. Letters should be addressed to Dr. Steven Wilhelm, Professor of Microbiology, and informal inquiries may be sent to him at wilhelm@utk.edu. Review of applications will begin Dec 1, 2016 and will continue until the position is filled.

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All qualified applicants will receive equal consideration for employment and admissions without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status. Eligibility and other terms and conditions of employment benefits at The University of Tennessee are governed by laws and regulations of the State of Tennessee, and this non-discrimination statement is intended to be consistent with those laws and regulations. In accordance with the requirements of Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, The University of Tennessee affirmatively states that it does not discriminate on the basis of race, sex, or disability in its education programs and activities, and this policy extends to employment by the University. Inquiries and charges of violation of Title VI (race, color, and national origin), Title IX (sex), Section 504 (disability), ADA (disability), Age Discrimination in Employment Act (age), sexual orientation, or veteran status should be directed to the Office of Equity and Diversity (OED), 1840 Melrose Avenue, Knoxville, TN  37996-3560, telephone (865) 974-2498.  Requests for accommodation of a disability should be directed to the ADA Coordinator at the Office of Equity and Diversity.


NIMBioS
1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9300
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NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
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