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analysis is complemented and correlated with circulating tumor DNA (ctDNA), as well as immune cell composition in serial blood samples collected during therapy. The work is carried out in close collaboration
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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the Royal Institute of Technology, Stockholm. Dahlin’s team works at the intersection between experimental and computational medicine to map blood cell development at the single-cell level. This is performed
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phenotypic characterization to investigate the effects of salt-induced cell clustering on the eco-evolutionary dynamics of various bacterial species and synthetic microbial communities. The genetic basis
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, Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) . This project is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and
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) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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of mathematics at Stockholm University, we are announcing the position as DDLS PhD student in data driven cell and molecular biology. Data driven cell and molecular biology covers research that fundamentally
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(DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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benefits and associated costs of a cell engulfing one or two separate organisms (endosymbiosis). While this provides the host with new capabilities, it also imposes an added burden of complex gene regulation
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of Cell and Molecular Biology will be co-supervisor. Description of the DDLS-program and an interview with Avlant about DDLS The doctoral student project and the duties of the doctoral student Precision