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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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, 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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from working with functional assays including explant model(s) based on human tissue, preferably tumor tissue. Knowledge in immuno-oncology, with a particular focus on T cells and myeloid cells
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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