华盛顿特区NIH计算基因组学研究博士后岗位
来源：丁香人才网
日期：2008-05-09
Institution
National Institutes of Health (NIH) (http://www.nih.gov)
Position
Postdoctoral Research Position in Computational Genomics at NIH (USA)
Location
Washington, DC
Date Posted
May 7th 2008
Date Expires
July 6th 2008
Tags
gene regulation, population genetics, comparative genomics,bioinformatics, nih, usa, and washington dc
Description
A postdoctoral position is available at the Computational Biology Branchof NCBI, NIH.
We are looking for a highly motivated candidate to study gene regulatorymechanisms in the human and other complex genomes. This work will relyon combining genome data mining, development of Bayesian inferencemethods, and population genetics data to work on:
* deciphering the semantics of the gene regulatory code
* studying evolution of gene regulatory networks
* developing novel computational methods to predict tissue-specificregulatory elements
* identifying disease-causing mutations within noncoding DNA
Successful candidate must have a Ph.D. and less than 5 years ofpostdoctoral experience, preferably in computational genomics orpopulation genetics.
Contact
Please send a copy of your CV and the names of three references to:
Ivan Ovcharenko, Ph.D.
Computational Biology Branch
NCBI, NLM, NIH, Building 38A Rm 6S602
Bethesda, MD, 20894, U.S.A.
ovcharei@ncbi.nlm.nih.gov
http://www.ncbi.nlm.nih.gov/CBBresearch/Ovcharenko/
National Institutes of Health (NIH) (http://www.nih.gov)
Position
Postdoctoral Research Position in Computational Genomics at NIH (USA)
Location
Washington, DC
Date Posted
May 7th 2008
Date Expires
July 6th 2008
Tags
gene regulation, population genetics, comparative genomics,bioinformatics, nih, usa, and washington dc
Description
A postdoctoral position is available at the Computational Biology Branchof NCBI, NIH.
We are looking for a highly motivated candidate to study gene regulatorymechanisms in the human and other complex genomes. This work will relyon combining genome data mining, development of Bayesian inferencemethods, and population genetics data to work on:
* deciphering the semantics of the gene regulatory code
* studying evolution of gene regulatory networks
* developing novel computational methods to predict tissue-specificregulatory elements
* identifying disease-causing mutations within noncoding DNA
Successful candidate must have a Ph.D. and less than 5 years ofpostdoctoral experience, preferably in computational genomics orpopulation genetics.
Contact
Please send a copy of your CV and the names of three references to:
Ivan Ovcharenko, Ph.D.
Computational Biology Branch
NCBI, NLM, NIH, Building 38A Rm 6S602
Bethesda, MD, 20894, U.S.A.
ovcharei@ncbi.nlm.nih.gov
http://www.ncbi.nlm.nih.gov/CBBresearch/Ovcharenko/
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