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to work on the analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project. The appointee will work both independently and in
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Ref.: 533742 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Department
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other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will be an additional advantage; • Documented active participation in national and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
Position Information General Information Position Number POST40 Working Title Post Doctoral Fellow Division Academic Affairs Department College of Humanities & Earth and Social Sciences (Col) Work
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analysis. - Define one (or several) precise research questions and perform data analysis to explore them. - Write scientific papers and give scientific presentations in international meetings. - Participate
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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Description of Post The Postdoctoral Researcher will play a pivotal role in supporting the Faculty of Business to achieve the University’s strategic research and engagement objectives, with a
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of the work and experimental work: Cell Sorting Flow cytometry: cell marking and analysis. Cell cultures Molecular biology techniques: massive sequencing techniques; processing of biological samples DNA, RNA
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, 2025. Preferred Qualifications: Experiences in electromagnetic transient analysis, grid-forming IBR modeling, quantum computing, power system stability, cybersecurity, real-time digital simulation, and
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the analysis of data from the ESA Euclid mission—and 21-cm intensity mapping, especially from the SKA Observatory (SKAO). Our goal is to generalize existing analytic methods—particularly the Effective Field