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Computational Methods for Data Analysis in Chemistry and Biochemistry
Job Description
Opportunity at National Institute of Standards and Technology (NIST)
Computational Methods for Data Analysis in Chemistry and Biochemistry
Location
Material Measurement Laboratory, Biomolecular Measurement Division
RO# Location
50.64.51.C0546 Gaithersburg, MD
Please note: This Agency only participates in the February and August reviews.
Advisers
name email phone
Moorthy, Arun Senthan arun.moorthy@nist.gov 301-975-2563
Description
My research involves understanding and solving data analysis problems that arise when measuring molecules. In particular, I combine a broad spectrum of mathematical and engineering methods with application-specific insights to more effectively organize, analyze and interpret data. This interdisciplinary approach leads to the development of high-impact practical tools and novel theoretical insights communicated through software products, seminars and publications. Life science applications, broadly speaking, are a source of problems of particular interest, including but not limited to: biomanufacturing, environmental monitoring, food, forensics and toxicology.
The successful candidate will be interested in developing computational tools (e.g., models, algorithms, etc.) and working with real-world chemical information (e.g., measurements like mass spectra or concepts like chemical structure).
Keywords:
algorithms; artificial intelligence; biochemistry; cheminformatics; chemistry; computational mathematics; data science; machine learning; mass spectrometry; programming
Eligibility
Citizenship: Open to U.S. citizens
Level: Open to Postdoctoral applicants
Stipend
Base Stipend Travel Allotment Supplementation
$74,950.00 $3,000.00
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