46 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Kent" positions at University of Lund
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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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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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more information, please visit the Institute's website www.iiiee.lu.se. Job description The work involves assisting ongoing research addressing behavioural and psychological determinants of climate
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doctoral student will address the same topic from a business perspective. The student will also be afilliated with the NextG2Com industrial competence center, in the research theme on Integrated Data
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of childhood, citizenship, and societal responsibility. Information about the project Children's rights and participation in Swedish civil preparedness – portal.research.lu.se . Information about doctoral
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equality and diversity as a strength and an asset. Work duties The work entails to participate in and lead data collection within the framework of a long-term population study of insects (damselflies
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. In this project, you will work on nanoparticle research in close collaboration with Dr Cindy Xiao, analyzing cryo-TEM and scattering data and integrating these results to draw scientifically robust
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applied to retrieve biological information from patient samples. The work assignments include: Take part in the development of point-of-care production and quality control of CAR-T cells at the SUS ATMP
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glial cells into neurons. Your main tasks will include 2D and 3D neural culture work and potentially, tissue preparation, histological and molecular analyses, statistical methods, and data presentation