420 programming-"Multiple"-"Prof"-"FEMTO-ST-institute"-"St"-"UCL" Postdoctoral positions in United States
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Field
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that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and
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motivated candidates for postdoctoral fellow related to chronic kidney disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we
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on exploration through research and collaboration among educators, students, and local and global communities. With nationally recognized academic programs, a history of widespread influence, a forward
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motivated candidates for postdoctoral fellow related to chronic kidney disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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, coatings, and microneedles. Multiple physical, chemical, and mechanical characterization techniques such as SEM, FTIR, NMR, rheology, and nanoindentation will be used to evaluate the properties of our
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scientific research, utilizing advanced skills and knowledge to execute the following tasks: plan field and laboratory experiments based on the season and phenology, run established research protocols, and
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Posting Details Posting Details Business Title Post-Doctoral Fellow (Multiple) Posting Category Research Salary Grade 04 Salary Plan Professional Non Bargaining Hiring Range /Pay Rate Department
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the following tasks: plan field and laboratory experiments based on the season and phenology, run established research protocols, and modify and develop new procedures to achieve research goals. Moreover
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, and generalized additive models would be a bonus. Skilled in descriptive analysis and applying modern statistical methods in modeling of data. Technical writing and computer programming skills. Strong