Job Description:
A postdoctoral research position is available for the in silico study of metabolic electron fluxes for biofuels synthesis. The position will be the lead metabolic modeler for the new DOE Biological Electron Transfer and Catalysis (BETCy) EFRC led by Montana State University. The multidisciplinary research will combine computational systems biology and experimental data and will require collaborating with fellow BETCy scientists (e.g. M. Adams, U of Georgia; C. Harwood, U of Washington; P. King NREL, Golden CO) to model, analyze and engineer electron fluxes for biofuels applications. Model systems for the BETCy projects include: hyperthermophile Pyrococcus furiosus, anoxygenic phototroph Rhodopseudomonas palustrus and acidophilic cellulose degrader Clostridium thermocellum. Travel to collaborators’ laboratories for training and experiments is expected. The candidate will be required to design and conduct experiments, implement research plans, develop required methods, prepare progress reports and publications. A successful candidate must possess excellent written, oral, and interpersonal communications skills and have the ability to work both independently and collaboratively with BETCy scientists. Experience in computational metabolic modeling such as flux balance analysis (FBA) or elementary flux mode analysis (EFMA) is preferred. For more information on this research project, please contact Dr. Carlson or go to is http://eu.montana.edu/betcy-efrc. Screening of applications will begin October 1, 2014 and will continue until position is filled. To apply, submit: (1) a letter of application (2) a curriculum vitae and (3) the names and contact information for three professional references. MSU-Bozeman is an ADA/EEO/AA/Veteran’s Preference Employer. Ross P. Carlson, Ph.D. Department of Chemical and Biological Engineering Montana State University Bozeman, MT 59717-3980 406-994-3631 / rossc@erc.montana.edu
Additional Info:
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A postdoctoral research position is available for the in silico study of metabolic electron fluxes for biofuels synthesis. The position will be the lead metabolic modeler for the new DOE Biological Electron Transfer and Catalysis (BETCy) EFRC led by Montana State University. The multidisciplinary research will combine computational systems biology and experimental data and will require collaborating with fellow BETCy scientists (e.g. M. Adams, U of Georgia; C. Harwood, U of Washington; P. King NREL, Golden CO) to model, analyze and engineer electron fluxes for biofuels applications. Model systems for the BETCy projects include: hyperthermophile Pyrococcus furiosus, anoxygenic phototroph Rhodopseudomonas palustrus and acidophilic cellulose degrader Clostridium thermocellum. Travel to collaborators’ laboratories for training and experiments is expected. The candidate will be required to design and conduct experiments, implement research plans, develop required methods, prepare progress reports and publications. A successful candidate must possess excellent written, oral, and interpersonal communications skills and have the ability to work both independently and collaboratively with BETCy scientists. Experience in computational metabolic modeling such as flux balance analysis (FBA) or elementary flux mode analysis (EFMA) is preferred. For more information on this research project, please contact Dr. Carlson or go to is http://eu.montana.edu/betcy-efrc. Screening of applications will begin October 1, 2014 and will continue until position is filled. To apply, submit: (1) a letter of application (2) a curriculum vitae and (3) the names and contact information for three professional references. MSU-Bozeman is an ADA/EEO/AA/Veteran’s Preference Employer. Ross P. Carlson, Ph.D. Department of Chemical and Biological Engineering Montana State University Bozeman, MT 59717-3980 406-994-3631 / rossc@erc.montana.edu
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Dynamical Systems
- Programing Skills
- Signaling Network Inference
- Software Design
- Systems Biology
Areas :
Additional Info:
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