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balance. We particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/ Our
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of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it is currently not possible to do
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College of Music, please see https://music.unt.edu/. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and
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analysis, based primarily on the evaluation of written documents, spatial data, interviews, and image sources. You have a doctorate in geography, environmental sciences, or similar disciplines and experience
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of these projects affected the political, economic, and spatial organization of Indigenous societies, as well as how these societies, in turn, transformed the projects imposed upon them. Finally, the project will
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, predict, and manage them remains fragmented across disciplines. The Understanding and Predicting Impacts of Climate Extremes under Global Change Doctoral Network (CLIMES DN) (https://www.climes.se/climesdn
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and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description Oversee and fulfil
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. The investigation of the temporal and spatial distribution of the exhaust gases in the atmospheric layers after the launch vehicle has passed through is therefore crucial for drawing conclusions about their climatic
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. The project involves large-scale analysis of high-dimensional datasets, including: single-cell and single-nucleus RNA sequencing spatial transcriptomics (e.g., 10x Genomics, Xenium) germline and somatic
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. In addition to furthering systematic thinking by separating problem formulation from solution concepts, integrating models from different disciplines, operating at different time/spatial scales