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to computational analysis of and machine-learning approaches to mass spectrometry-based metabolomics and/or proteomics data. Positions are available starting March 2024, and will remain open until excellent fits
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drugs via computational mass spectrometry. Positions are available starting March 2024, and will remain open until excellent fits are found. Successful candidates will develop and apply computational
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through working with and teaching students and postdocs. We are seeking a candidate with excellent knowledge of metabolomics, data analysis, and computation. Successful candidates must be familiar with mass
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yeast genetics. - Experience working with mass spectrometry. The final candidate will be required to pass a background check. Princeton University is an Equal Opportunity/Affirmative Action Employer
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biology, biochemistry, cancer genomics, genetics, mass spectrometry, physical chemistry, computational and systems analysis. Appointments are for one year with the possibility of renewal pending
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analysis. - Good time management and experimental planning. Other relevant (but not required) experience: - Experience working with yeast culture and yeast genetics. - Experience working with mass
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through working with and teaching students and postdocs. We are seeking a candidate with excellent knowledge of metabolomics, data analysis, and computation. Successful candidates must be familiar with mass
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candidates must be familiar with mass spectrometry and associated data types; strong in metabolism, chemistry, and quantitative science; and skilled and fast writers of computer code. Essential qualifications
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, genetics, mass spectrometry, physical chemistry, computational and systems analysis. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding
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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting September 2023, and will remain open until excellent fits are found. Successful candidates