99 programming-"https:" "https:" "https:" "Grenoble INP Institute of Engineering" Postdoctoral positions at Cornell University
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Development Plan. This is a hybrid position with the possibility of remote work. Some travel will be required. Application Process Postdoctoral researchers will work under the supervision of Cornell faculty
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(e.g., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g
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USDA NIFA Agricultural Microbiome Program. The individual will need to have the ability to drive to field sites in Geneva in order to collect samples and bring them back to the lab in Ithaca. Anticipated
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Professor Allison Godwin, a tenured engineering education faculty member in CBE, and Professor Alexandra Coso Strong, a tenured engineering education faculty member in CBE and the Systems Engineering Program
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through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/31559 Through this website, applicants will submit a cover letter, curriculum vitae, graduate transcript, and the names and contact
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the option to work remotely 1-2 days per week. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31803 ). Qualified candidates should submit a cover letter highlighting
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the option to work remotely 1-2 days per week. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31803 ). Qualified candidates should submit a cover letter highlighting
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Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python