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diseases in cereal crops. Learning Objectives: This project will offer training and experience in a variety of molecular biology techniques used in studying plant-pathogen interactions. The candidate will
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: Communication. Attention to detail. Time management. Multitasking. Organization. Computer skills, Confidentiality. Required Documents Resume/CV Cover Letter Comprehensive Benefits Package: Coverage begins on day
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Scope of Job The Puentes Postdoctoral Fellow is a three (3) year grant-funded position under the U.S. Department of Education’s Title V Developing Hispanic Serving Institutions (HSI) program. This is a
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:00:00 PM Eastern Time Zone Description The Air Force Institute of Technology is offering a master's degree level research fellowship at Wright Patterson Air Force Base. What will I be doing? Icy road
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University invites applications for a Postdoctoral Fellow position in the Department of Electrical and Computer Engineering. The successful candidate will work as part of a multidisciplinary team investigating
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-2024 (cu.edu) Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in molecular biology, genetics, bioengineering, or a related field (required
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internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water
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Ciferri, VP of Protein Sciences, and in collaboration with the Bioconjugation and Delivery Lab led by Dr. Stephanie Monson. This group is responsible for the design and generation of new medicines
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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties