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the development of structured models to represent attacks and their properties, including measures of attack quality such as time required, risk of detection, resource requirements, and consequences. These models
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conducting independent research, publishing in international scientific journals, contributing to project development, and collaborating with our public collaboration partners, other researchers, and students
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precision micromachining and 3D printing. Experimentally characterize cavitation dynamics, including mechanical, thermal, and chemical effects associated with bubble collapse. Contribute to the development
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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coupling where applicable. The present post-doc position will contribute and lead research in relation to the development and validation of techno-economic performance models for the design and operation of
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energy community deployment. The researcher will lead activities related to time-resolved energy systems modelling, optimisation, and digital twin development for pilot sites, including scenario-based
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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. Mentorship and support in career development and research leadership education. How to apply Applications must be submitted through the HotCRP system. Each applicant can submit a maximum of one application