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, SciLifeLab is located on Campus Solna, where research groups from Stockholm University, the Royal Institute of Technology, and the Karolinska Institute conduct internationally outstanding research in the life
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engineering, regulation of gene expression, population genetics, genome analysis, and the development of breeding systems. Species in use are model organisms such as Arabidopsis, Physcomitrella and tobacco as
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collaboration with the medical partner(s) providing your samples. Current studies in our group involve both human and animal tissues, for research on nerves, lung, heart, bowels and carotid arteries. We aim
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nutritional and metabolic impact of turnout to pasture in Sweden and other Nordic countries is scarce. According to current knowledge, milk production may be compromised due to nutritional and metabolic
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complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work A complete list
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-of-the-art cell and tumor biology methodologies, tissue analysis with histopathological techniques, and work with genetically engineered mouse models of cancer. Previous experience of conducting and analyzing
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Although information on fish stock structure and population trends are critical for conducting analytical assessments for sustainable fisheries management and scientific advice, our current understanding
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. To understand current biodiversity, we also need to understand its evolutionary history – to predict its evolutionary future. We aim for interdisciplinary approaches to understanding environmental change and
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be solved in isolation, and collaboration is a prerequisite for finding innovative solutions to current and future challenges. Research on Collaboration (RoC) is a new research environment and
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insects and other organisms (including humans), and the repercussions in terms of ecosystem functioning. To understand current biodiversity, we also need to understand its evolutionary history – to predict