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Field
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well as characterization and monitoring of their structural health. We develop and use geophysical and nondestructive testing methods and also sampling and measurements at the ground, in water and in boreholes. The division
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the future of sustainable materials? We are looking for a dedicated PhD student to develop techniques to recover clean secondary materials from post-consumer wood that is highly polluted with preservatives. In
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development to biomedical studies. The main research areas include immuno-oncology, sensitization, and biomarkers. The modern facilities are located at Medicon Village, where academic research is carried out
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tissue cutting Techniques: In situ multiplex immunofluorescence, immunohistochemistry and transcritptomics tissue culture and development of 3D culture models infection with ex vivo primary material
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. Research area: Biodiversity and evolution Work duties Land use change and climate warming, together with gene flow from garden escapes, impose threats to gene pools of rare indigenous trees such as Acer
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-glycan interactions and develop designer proteins with custom glycan binding specificities. Duties The successful candidate will work both experimentally and computationally. Experimentally, they will
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structure physics. Documented practical experience in the development, construction, and handling of segmented detectors for particle and gamma radiation. Documented experience in the use of multi-parameter
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are dedicated to increasing understanding of neurodegenerative diseases. The long-term goal of our research is to contribute to the development of new treatments for neurodegenerative diseases where effective
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at SciLifeLab Campus Solna. We are looking for up to two talented researchers who are expected to develop world-leading independent biomedical research in one or several of the fields of interest to SciLifeLab
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all these areas, providing excellent conditions for further development of the field. The aim is to design proteins or other biomacromolecules that spontaneously self-assemble into higher-order