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Date: Fri Dec 18 10:37:26 2020
Subject: 20.12.18 Machine Learning Postdoctoral Opportunity in the NIST PREP Program at Georgetown University
Qualified applicants are invited to apply for postdoctoral research 
opportunities at the US National Institute of Standards and Technology in 
Gaithersburg, Maryland in collaboration with Georgetown University.  A 
major aim of our group is to use artificial intelligence to improve mass 
spectrometry in the fields of proteomics and metabolomics.  Our current 
research objective is to design and train deep neural networks to predict 
the mass spectra of all peptides in the human genome and to estimate the 
error of these predictions.  These predicted spectra may be incorporated 
into the NIST mass spectral libraries, used by many thousands of 
scientists worldwide to analyze complex biological and chemical samples.

This opportunity is ideal for a scientist with a strong background in 
computation, math, and physical or biological sciences to learn artificial 
intelligence methods.  A background in machine learning and mass 
spectrometry is not required, but the successful applicant should program 
in python and understand both linear algebra and statistics.  Coursework or 
research in biology and chemistry is a plus.  The applicant will work 
closely with and be mentored by scientists well versed in machine learning 
and mass spectrometry. US citizenship is not required.

NIST is a center for measurement excellence, and, as a result, has 
available for this research large sets of high quality data essential for 
deep learning.  NIST also provides training and excellent computational 
support, including substantial GPU compute clusters.

The successful applicant would have an opportunity to interact with the 
large community of chemists, biologists, physicists and computer 
scientists at NIST, and be encouraged to present their research in a 
variety of international meetings and publications.
The NIST PREP program at Georgetown University is described at

Interested candidates are invited to send a CV to Dr Lewis Geer,
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Modified: Fri Dec 18 15:37:26 2020 GMT
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