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美国St David's医疗中心计算生物学博士后职位

2011-11-14 17:40 来源: 未知 作者: admin

Employer: St David's Medical Center
Location: Austin, TX
Type: Postdoctoral
Posted: November 08, 2011
Expires: January 07, 2012
Jobs by tag(s): st davids medical center austin texas postdoctoral researcher neuroscience computational biology physics
 

job description

St. David’s Medical Center
Austin, TX

SDMC POSITION TITLE: Postdoctoral Researcher

JOB TITLE: Research Scientist
POSITION SUMMARY: The Center for Computational Neuroscience at NeuroTexas Institute at St. David’s HealthCare seeks a highly motivated individual who is interested in the genetics and genomics of glioblastoma multiformae (GBM). Of particular interest, is the development of evolutionary-genetic models suitable for studying the dynamics of mutations within growing GBM tumors and related bioinformatic approaches for model validation using DNA/RNA sequence data from GBM tumors.
NeuroTexas Institute is a highly multidisciplinary clinical, research and educational institute affiliated with St. David’s HealthCare in Austin, TX. The Institute enjoys an open and highly productive relationship with the adjacent University of Texas at Austin. This particular research is part of an ongoing collaboration with Claus Wilke at UT – Austin. There may be opportunities for conducting novel DNA/RNA sequencing studies in collaboration with UT-Austin.
The two-year position is available beginning January 1, 2012. Candidates must have completed their PhDs in computational biology, computer science, mathematics or physics. Ideal candidates will be familiar with evolutionary theory and modeling, DNA/RNA sequence analysis and bioinformatics, and systems biological approaches. Previous knowledge and experience with cancer genomics and modeling is an additional plus.
EDUCATION:
Ph.D. in Mathematics, Physics, Biostatistics, Computational biology, or related discipline

EXPERIENCE:
Required:
One year related research experience

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KNOWLEDGE, SKILLS AND ABILITIES:

The successful candidate must have a strong background in evolutionary theory and modeling; knowledge of cancer biology and genetics will be significantly beneficial to the research. The successful candidate will have a strong skillset in computer programming, mathematics and statistical modeling, with proficiency in C/C++, Perl/Python, and R programming.

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