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knowledge and application and use of concepts, theories, terminology, and practices. Position Status Full Time Posting Number 25FA0757 Posting Open Date Posting Close Date Qualifications Minimum Education and
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, solid experience with protein biochemistry. Prior knowledge of crystallography and/or single-particle electron microscopy is highly desirable. Must be highly motivated and work independently as well as in
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condensed matter physics, materials science, or a similar discipline by the start date of the position. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment
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, JavaScript, etc.) Track record in publishing scientific articles Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Preferred Qualifications Prior experience conducting
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sequencing and bioinformatics. Keeps up-to-date with technical and theoretical knowledge related to the projects. Generates, compiles and presents experimental data with appropriate conclusions
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microscopy. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special
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Qualifications Minimum Education and Experience Ph.D in Mathematics and strong evidence of promise as a researcher and teacher of mathematics. Certifications/Licenses Required Knowledge, Skills, and Abilities
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development work on a carbon dot technology. The work requires knowledge of materials synthesis, polymer and carbon material properties, materials analysis, and characterization. Additionally, assistance in
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of excellence; to conducting research that breaks new ground; and to turning knowledge into solutions for local, national, and global communities. As it was at our founding in 1766, the heart of our mission is
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data