110 developer-"https:" "https:" "https:" "Brunel University London" Postdoctoral research jobs at Cornell University
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Postdoctoral Associate – Transdisciplinary Agroecology - CALS - Department of Global Development Postdoctoral Associate – Transdisciplinary Agroecology Seeking a postdoctoral associate with PhD
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new tool development CAROW advances the work of faculty and institutes conducting translational labor research and brings them together to drive new insights. Responsibilities: This position will
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the new Ashley School of the Environment and Global Development. This section is multidisciplinary with emphases in applied ecology, human dimensions of natural resource management, policy/governance
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Postdoctoral Associate - Molecular Biology and Genetics Position Function We are seeking a highly motivated researcher to develop and apply cutting-edge artificial intelligence approaches
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Associate will receive $70,000.00 in salary as well as a modest research budget and moving allowance. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and
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study culminating in the annual Milstein Expo (both courses are in the Spring). The Postdoctoral Associate will work alongside the faculty director on curriculum development and in supervising each
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testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification, transport, and resistance, and potentially
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, supported by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the
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contribute to existing projects and will also have the opportunity to develop independent or collaborative lines of research aligned with the lab’s mission. The successful candidate will play a major role in
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical