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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and molecular biology, but
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and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal tract. The research will build spatiotemporal models of human immunological tissue architectures
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duties We invite applications for a postdoctoral position in the research group of Matthew Webster at IMBIM, Uppsala University, to investigate the role of somatic mutations in ageing using insect model
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immunotherapeutic treatments and of human models for preclinical drug evaluation and mechanistic studies. Subject Immunotechnology with a focus on the regulation of immune cells in tumors as well as the design and