33 evolution "https:" "https:" Postdoctoral positions at Cornell University in United States
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motivated postdoctoral associate who will use a broad range of cellular, molecular, and functional genomic techniques in a wide array of marine invertebrate species to interrogate the evolution and
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popular seminars. Prepare peer reviewed papers and other research products, including reports and relevant information to partners. (35%) Participate in career and professional development opportunities
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articles and present results at scientific meetings. (30%) Assist in the development of proposals for external funding for research projects. (5%) Requirements A PhD degree in physics, chemistry, synthetic
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Fellowship positions scholars to work with a Cornell faculty mentor and an external partner organization. Each Fellow receives individualized and cohort-level support in professional development, including
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translational research activities and represent PSIX in collaborations and conferences. This position includes mentorship and professional development opportunities, as well as opportunities to contribute
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development opportunities. (10%) Engage in ongoing academic and intellectual life within Natural Resources and the Environment, CALS, and Cornell University, and with all external partners. (5%) Participate in
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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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. Receiving mentorship in grant writing and navigating the publication process. Participating in career development activities through Cornell's mentoring resources and professional network. Overall
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to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received
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analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI tutoring agents that build on high-quality data (e.g., training