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Nuclear magnetic resonance (NMR) and Mass spectrometry (MS) are two mainly used techniques in metabolomics that can measure abundance of hundreds of metabolites. The data generated by either technique have already allowed a huge progress in various research fields from personalized medicine to pharmaceutical sciences. Combining measurements from both platforms through a simple concatenation also led valuable discoveries. In this work, however, we propose an alternative data fusion approach based on deep learning that aims to make use of each type of measurement and combine the derived information in a different layer for disease prediction.
Experience with deep leaning is preferred.
Work on this project will take place during the Summer 24 and Fall 24 semesters.
University of Michigan-Flint - Plan for Diversity, Equity and Inclusion
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248793
RESEARCH ASST I (TEMP) - CSC (metabolite)
RESEARCH ASST I (TEMP)
Flint Campus
Flint, MI
Part-Time
Temporary
Nonexempt
Flint Cit
Flint Computer Science
5/09/2024 - 9/06/2024
$15.00 - $15.00
Temporary Job Opening
Full Time
Colleges & Universities
05/13/2024
09/06/2024
umich.edu
ANN ARBOR, MI
15,000 - 50,000
1817
CAROL SENNEFF
$5B - $10B
Colleges & Universities
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.