42 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" 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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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ Project
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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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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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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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/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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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