Job ID:
Job date: 2017-06-16
End Date:
Company : Carnegie Institution for Science Country : Role : Postdoc
Job date: 2017-06-16
End Date:
Company : Carnegie Institution for Science Country : Role : Postdoc
Job Description:
A postdoctoral position is available immediately in the laboratory of Dr. Sue Rhee at the Carnegie Institution for Science, Department of Plant Biology, to create and analyze metabolic networks of plants. Plant metabolism is the biological engine that feeds the world, not only humans but also microbes and animals. The successful candidate will lead the development of computational tools and methods for predicting plant metabolic enzymes, transporters, and regulators as a part of a team called the Plant Metabolic Network (PMN, www.plantcyc.org ). The successful candidate will have opportunities to develop novel questions regarding evolution, function, or regulation of metabolic networks in plants by leveraging the tools and data generated at the PMN and the Rhee lab, including standard molecular genetic tools and resources. Qualified candidates must have a Ph.D. or equivalent in Computer Science, Statistics, Engineering, Mathematics, Biology, Biochemistry, Bioinformatics, Computational Biology, or a related field, and a strong background in algorithm development, statistics and programming, as well as a strong interest in applying machine learning and other computational approaches to address interesting biological problems. Candidates with experience in developing machine learning algorithms are especially encouraged to apply. Working experience in large-scale sequence analysis, and proficiency in programming languages of Python and/or Perl are pluses. The successful candidate should also have a demonstrated ability for independent and critical thinking, excellent communication and teamwork skills, and enthusiasm for learning new things.
Additional Info:
Location: Palo Alto, CA The Carnegie Institution, a private, nonprofit organization engaged in basic research and advanced education in biology, astronomy, and the earth sciences, was founded and endowed by Andrew Carnegie in 1902 and incorporated by an act of Congress in 1904. Andrew Carnegie conceived the Institution’s purpose “to encourage, in the broadest and most liberal manner, investigation, research, and discovery, and the application of knowledge to the improvement of mankind.” The Department of Plant Biology engages in basic research on the mechanisms involved in the growth and development of plants and algae. The Department of Plant Biology is co-located with the Carnegie Department of Global Ecology on a seven-acre site on the campus of Stanford University. [Click Here to Access the Original Job Post]
A postdoctoral position is available immediately in the laboratory of Dr. Sue Rhee at the Carnegie Institution for Science, Department of Plant Biology, to create and analyze metabolic networks of plants. Plant metabolism is the biological engine that feeds the world, not only humans but also microbes and animals. The successful candidate will lead the development of computational tools and methods for predicting plant metabolic enzymes, transporters, and regulators as a part of a team called the Plant Metabolic Network (PMN, www.plantcyc.org ). The successful candidate will have opportunities to develop novel questions regarding evolution, function, or regulation of metabolic networks in plants by leveraging the tools and data generated at the PMN and the Rhee lab, including standard molecular genetic tools and resources. Qualified candidates must have a Ph.D. or equivalent in Computer Science, Statistics, Engineering, Mathematics, Biology, Biochemistry, Bioinformatics, Computational Biology, or a related field, and a strong background in algorithm development, statistics and programming, as well as a strong interest in applying machine learning and other computational approaches to address interesting biological problems. Candidates with experience in developing machine learning algorithms are especially encouraged to apply. Working experience in large-scale sequence analysis, and proficiency in programming languages of Python and/or Perl are pluses. The successful candidate should also have a demonstrated ability for independent and critical thinking, excellent communication and teamwork skills, and enthusiasm for learning new things.
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Additional Info:
Location: Palo Alto, CA The Carnegie Institution, a private, nonprofit organization engaged in basic research and advanced education in biology, astronomy, and the earth sciences, was founded and endowed by Andrew Carnegie in 1902 and incorporated by an act of Congress in 1904. Andrew Carnegie conceived the Institution’s purpose “to encourage, in the broadest and most liberal manner, investigation, research, and discovery, and the application of knowledge to the improvement of mankind.” The Department of Plant Biology engages in basic research on the mechanisms involved in the growth and development of plants and algae. The Department of Plant Biology is co-located with the Carnegie Department of Global Ecology on a seven-acre site on the campus of Stanford University. [Click Here to Access the Original Job Post]