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available in the Computer Science department at Purdue University. The research focuses on developing algorithms for the analysis of time series data using quantum machine learning models, and
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, Computer Science, Computer Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms
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statistical analysis, data visualization, and bioinformatics approaches. Ability to work independently and collaboratively in a multidisciplinary research team. Familiarity with laboratory safety and
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responsibilities include managing data, managing strain library, maintaining a laboratory notebook, assisting graduate students in microbiology, and manuscript preparation. This position is funded in part by
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methodologies and data analysis. Ability to work independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working
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population health data resources. • Leverage opportunities for pilot funding, networking, and professional development through these partnerships. • Work in Indianapolis, IN, home to major health
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/MBC assays, time-kill assays, or biofilm assays Has experience with quantitative assay development, data analysis, and experimental troubleshooting Is able to work carefully with infection-relevant
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, MIC/MBC assays, time-kill assays, or biofilm assays Has experience with quantitative assay development, data analysis, and experimental troubleshooting Is able to work carefully with infection-relevant
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experience in at least some of the following: project management; drafting a manuscript for publication; editing and proofreading; compiling and translating data into effective visual contexts (tables
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proofreading; compiling and translating data into effective visual contexts (tables, charts, etc.); rendering a content expert’s specialized language (jargon) into clear, effective prose. The College and