The University of Michigan Metabolomics Core is seeking a postdoctoral research fellow to join our research team. The fellow’s appointment will be supported by our NIH-funded Compound Identification Development Core, which is a member of the NIH Common Funds Metabolomics Consortium.
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The candidate will contribute directly to our efforts to develop improved computational strategies to identify unknown features in tandem mass spectrometry data. Expertise with mass spectrometry data is required. The candidate will coordinate closely and regularly with other scientists in the Michigan Metabolomics Core and at other institutions in the NIH metabolomics consortium to develop novel strategies to improve depth and confidence of compound identification in metabolomics data. The candidate will prepare publications and attend consortium, local and national scientific meetings to present research findings.
- A PhD is required
- Expertise with mass spectrometry data is required
- Experience in programming in R, Java, and/or other relevant languages, as well as understanding of advanced statistics and probability are strongly desired
- Experience with false discovery estimation and related techniques in proteomics and/or metabolomics, as well as experience with LC-MS data acquisition, are strong positive attributes
The initial appointment term will be for 1 year, renewable for a second term with satisfactory progress. We prefer that the candidate be able to relocate to Ann Arbor, MI, but due to the challenges presented by the COVID-19 crisis and the primarily computational focus of the position, we are willing to consider candidates for an initial period (6 mos) of full-time remote work depending on strength of qualifications and references. If you are interested in the position, please send your CV and a brief description of your research interests to Drs. Alexey Nesvizhskii and Charles Evans (firstname.lastname@example.org, email@example.com
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