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or equipment used to perform the essential duties of this position: computer 20 hours, telephone 5 hours, calculator 1 hour. Why Work at Texas A&M AgriLife? When you choose to work for Texas A&M AgriLife, you
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Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51
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(6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics
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an international team. -Ability to multi-task and work cooperatively with others. -Ability to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and
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and present experimental data. This includes applying computer analysis and simulation programs to interpret experimental data and characterize battery electrode materials and interfaces. Adapt and
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teleportation between small-scale trapped-ion and neutral-atom processors, enabled by both single-atom and ensemble-based atomic qubits serving as optical interconnects. As the postdoctoral researcher
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
(Rennes, France), Ifremer (Brest) and IMT Atlantique (Brest). Inria is one of the leading research institute in Computer Sciences in France, and Odyssey is also affiliated to the mathematics research
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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration