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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling these effects is crucial for industrial applications such as gas-turbine internal cooling
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several cancer research groups represented, including joint seminars and other collaborative activities. The group uses various data sources and modern techniques to improve predictive modelling, including
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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of this position is within the field of immuno-oncology, specifically establishing ovarian cancer tumor models based on cell lines and freshly resected patient tumor material for evaluation of immunotherapeutic
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responsibilities The candidate will use human mesenchymal cells to create human in vitro and in vivo models of the bone marrow. The projects consist of establishing relevant bone marrow models and exploit them
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solution that has the potential to enhance current immunotherapy approaches. This includes cell culture, microscopy, histology and working with animal models. The work duties also comprise data analysis
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measuring protein size distributions and knowledge of the underlying association models. Ability to apply for and get awarded external research funding Demonstrated pedagogical skills. Additional assessment
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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for