51 computer "https:" "https:" "https:" "https:" Postdoctoral positions at Cornell University
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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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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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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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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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to the public and academic audiences. Anticipated Division of Time Lab Research 70%; Computer Research 10%; Field/Greenhouse Research 5%; Writing and manuscripts 10% Requirements PhD in Plant Biology, Entomology
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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