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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods
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). What We’re Looking For: DVM and/or PhD (or equivalent) in veterinary, animal, or biological sciences. Experience or strong interest in: Udder health and animal welfare Digital learning and employee
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regular supervision and mentorship from Professor Virginia Doellgast, Anne Evans Estabrook Professor of Employment Relations and Dispute Resolution. Required Qualifications: PhD in Industrial Relations
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at our web sites, http://www.ilr.cornell.edu . Required Qualifications: PhD in Industrial Relations, Public Policy, Sociology, Political Science, Management, City and Regional Planning, or a closely
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berries and high Drosophila populations facilitate the spread of sour rot through vineyards. The sour rot disease complex causes significant economic losses and methods of chemical control for Drosophila
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Qualifications: ● PhD in experimental high-energy physics is required by the start of the appointment ● Strong record of accomplishment in data analysis ● Experience or interest in detector work or detector
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in career development activities within and outside the university. Salaries are set at the NIH rate. Anticipated Division of Time Research: 95% - the successful postdoc will apply various methods
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are set at the NIH rate. Anticipated Division of Time Research: 95%: The successful postdoc will apply various methods including but not limited to cell culture, gene interference, mass spectrometry