40 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Here-We-Are" positions at Umeå University in Sweden
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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and tissue culture. Molecular biology and immunohistochemistry. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should
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datasets from Fennoscandian lakes—including climate data, water chemistry, biotic indicators, and satellite remote sensing. The main goal is to identify critical ecological thresholds that, when not met
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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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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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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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/other relevant publications Other merits of relevance for the position Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
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described in “Focus of the Doctoral Position” 6. Contact details for two references (e.g., previous supervisors) Incomplete applications will not be considered. Further Information For more information about
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evaluated and validated using uniquely integrated historical datasets comprising environmental, social, demographic, mobility, and epidemiological information. The successful candidate will contribute to a