1,050 data-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" Postdoctoral positions in United States
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to Applicants Along with online application, please include contact information for three professional references as well as a current CV. Department Summary The Institute of Molecular Biology (IMB) is a research
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record of publications in peer-reviewed journals are required. Experience and expertise in analyzing single-cell sequencing data are preferred. This candidate must be detail-oriented and well-organized
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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comparable knowledge is demonstrated may be considered. Additional Information: Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not
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and verbal communication skills are also required. Specific Duties: ● Plan experiments and technical requirements, prepare and test specimens. ● Analyze data and present the results at various
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: The Department of Physics at Villanova University invites applications for a Postdoctoral Research position focused on far-infrared data analysis with Prof. David Chuss. This is a grant-funded position and is
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resume/CV. • Please submit a cover letter providing detailed information on your relevant experience and what your specific interests are in the areas we work in. In the cover letter please identify which
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. ● Lab maintenance, including equipment maintenance and ordering of supplies as needed. ● Collect and analyze data, including periodical/literature search and utilizing specialized skills in related
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make a difference in the world! Position Information The Postdoctoral Research Associate will support research in the Vegetable Breeding Program at Uvalde, which is focused on studying genomics, tissue
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne