51 computational-physics "https:" "https:" "https:" Postdoctoral positions at Cornell University
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students
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Postdoctoral Associate - Seed Biology and Technology Program The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest
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in conducting experimental, computational, and comparative work to understand how changes in gene expression underlie insect diet specialization and sequestration. They will be expected to come to
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disease vectors. This is a foundational position in a newly established research program, and the successful candidate will play a defining role in shaping the lab's scientific direction and contributing
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epigenomic basis of sexual dimorphism in somatic tissues of insect disease vectors. This is a foundational position in a newly established research program, and the successful candidate will play a defining
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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 next generation of scientists and build a
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Engineering Education, STEM Education, Engineering, Computer Science, or a related field. Demonstrated expertise in quantitative, qualitative, or mixed-methods research methods. Experience with human subjects
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this by producing scientific, computational, and big data resources that transform how we understand and protect the world around us. CESN engages the public by gathering biological information at large
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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
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this by producing scientific, computational, and big data resources that transform how we understand and protect the world around us. CESN engages the public by gathering biological information at large