32 modal-analysis-artificial-intelligence Postdoctoral positions at Cornell University
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analysis techniques, marine animal husbandry, and embryological manipulations. Supervision Exercised The applicant will provide frequent advice on complex issues related to research activities and provide
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Data Analysis.” As a postdoctoral associate, you will focus primarily on data analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with
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in qualitative and quantitative research methods and data analysis tools, such as R, SPSS, Stata, MAXQDA, and Nvivo. Aid in the analysis of data to derive insights into best practices for practitioners
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a year with the opportunity to extend based on performance. Anticipated Division of Time: 80% Research, 15% Data Analysis, 5% Writing Requirements: Ph.D. in Biochemistry, Chemistry, Molecular Biology
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analysis to detector operations and high luminosity detector upgrades (HL-LHC) of the pixel forward detector and the track trigger. The successful candidate will actively engage in searches for long-lived
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open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO
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Associate are as follows with time allocation: Model development and evaluation (70%) - Analysis and quantification of methane data from chambers and predictions from the CNCPS, sensitivity around inputs
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from doctoral work is required. Experience in cancer research and bioinformatics analysis is desirable but not essential. Supervision Exercised None To apply: Please apply via Academic Jobs Online (https
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on cancer or metabolism-related diseases like obesity and diabetes should not apply). Evidence of publication from doctoral work is required. Experience in cancer research and bioinformatics analysis is
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of the CNCPS. Primary duties: The specific functions of this Postdoctoral Associate are as follows with time allocation: • Model development and evaluation (70%) - Analysis and quantification of methane data