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skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and techniques as the projects evolve
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well as the profitability and cost-effectiveness of agricultural production within the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods
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communication skills. Previous experience with standard laboratory methods is not necessary. Candidates must possess excellent communication and interpersonal skills (both in English and ideally in Spanish
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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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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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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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to the work of the NTO. Further, this program is meant to produce use-inspired basic and applied research with a strong AI component, driven by real-world education applications. Faculty mentors are expected
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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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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
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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