31 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions at Nature Careers in United States
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experience and interests Your CV Contact information for three references Applications will be reviewed on a rolling basis until the position is filled. Apply via link here: https://careers.pageuppeople.com
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Diseases St. Jude Children's Research Hospital 262 Danny Thomas Place Memphis, TN 38105 steven-varga@stjude.org https://www.stjude.org/research/labs/varga-lab.html St. Jude is an Equal Opportunity Employer
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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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A postdoc position is available in the lab of Dr. Taosheng Chen Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab ( https://www.stjude.org/research/labs/chen
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epidemiology, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific
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The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a Postdoctoral Research Associate (Reference code 216) Extent of employment: 40 hours per
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benchmarked through comparisons with traditional PSHA models. The work will involve developing reproducible open-source codes and participating in an international research network linking seismology, geodesy
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regulatory circuitries driving disease-relevant cells and seek to understand how mutations in the non-coding DNA of such cells can drive disease, including cancers, through gene misregulation. The successful
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific programming languages