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should be sent to: amber@linxs.se THIS PROJECT: Developing a nano-spectral imaging approach for biological & biomedical samples. In bio samples, complex chemical and structural composition
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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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semiconductors for photo sensing applications. In particular, we will grow novel low dimensional hybrid single crystal materials, such as organo-inorganic structures, chiral structures and nanocrystals. We will
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. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
emphasis is not just on data science majors but on all students becoming data literate. The school’s culture has an open and transparent structure, governance, and business model. Position Summary Dr. Jun
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project