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backgrounds. For more information, visit www.ju.se . Where to apply Website https://ju.varbi.com/en/what:job/jobID:885813/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality of MSI advances our understanding
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. The project employs several techniques including fluorescence microscopy, electron microscopy, and advanced image data analysis. Duties Establishment of plasma membrane model systems and studies of replication
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for organisations and individuals. For more information about our department and research groups, visit the Department of Computer Science and Informatics (switch to the Swedish version for all bachelor programmes
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be employed, including e.g. deep phenotyping via flow cytometry, high-plex analysis of soluble factors, spatial characterization of tissue sections using immunofluorescence, and related data analysis
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handling of data (quality check, data deliveries) further development of the ICOS research infrastructure participation in project-related intensive campaigns and meetings. The work is performed in close
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workplace meetings and staff days. More information about PhD studies is found here . Qualifications General requirements To be admitted to studies at the third-cycle level, i.e. doctoral education, the
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preparation of samples for high-throughput sequencing. Proven experience coordinating and processing large numbers of environmental samples, with strong attention to quality control, documentation, and data
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collection of information on water governance processes and water management plans; building a database based on collected data; data collection work at Swedish authorities, regions and municipalities might be