17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral research jobs at Umeå University
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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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has about 160 employees, about 30 of whom are postdoctoral researchers. For more information, visit: https://www2.umu.se/en/department-of-ecology-and-environmental-science/
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. Information about the group's research can be found on our website https://sixtlab.org/ For more information about the position contact Dr. Barbara Sixt, barbara.sixt@umu.se Additional information We look
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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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. Prof. Silvia Remeseiro, MTB / WCMM, via silvia.remeseiro@umu.se More information aobut the research in Remeseiro’s group is available through the following websites: https://www.umu.se/institutionen
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of support in career 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
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gene regulators. Therefore, to avoid their harmful effects, in adult tissues they are silenced by epigenetic mechanisms such as DNA methylation. Dr. Horvath’s previous research has uncovered several
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on the microbiota. Hence, there is an urgent need for more selective treatment options. In context of a comprehensive antimicrobial discovery campaign, the lab, headed by Dr. Barbara Sixt at the Department
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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