46 evolution "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Cornell University
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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and external partners, engaging with agricultural finance stakeholders to translate research into policy-relevant insights, and contributing to the development of practical frameworks and tools
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results achieved during the PhD, strong communication skills, and a proficient command of oral and written English are important evaluation criteria. The Postdoctoral Associate will lead the development and
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would be on the development of novel methods to solve game theoretic models in natural hazard loss insurance modeling and in the optimization of municipal land use decision-making for risk management. To
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. Prepare manuscripts for peer-reviewed journals and present findings at scientific conferences. Contribute to the CNCPS development and support outreach efforts to disseminate findings to nutritionists and
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to pursuing a career in the field. In addition to research (95%), applicants will be encouraged to participate in career development activities (5%) both within and outside the university. The candidate will
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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in the Plant Sciences and is also home to the Agricultural Sciences major. School faculty also contribute to the Biology, Global Development, and Viticulture & Enology majors. Position Function
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development 5% Seek out and attend educational seminars and training workshops relevant to the research Attend lab meetings Continuously maintain all required educational and position qualifications to fulfill
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., human, organizational, infrastructure) to conduct research and support workforce development efforts on their campuses. This collaborative research project will use mixed methods to investigate