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acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed
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such as spectrally controlled reflectivity and transmission, down conversion, light trapping and light extraction, nonlinear effects, and solar cells. The work involves electromagnetic modeling
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) and Lundberg’s Lab at the School of Chemistry, Biotechnology and Health (CBH). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and
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potentially involving techno-economic analysis and AI-driven models for optimizing design and operation. Activities within project management and co-supervision of graduate students are also foreseen
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immunostaining of cells and tissues, 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
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tract. The research will build spatiotemporal models of human immunological tissue architectures, revealing how immune niches form, evolve, and malfunction across human organs and diseases. This includes