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in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
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experience working computationally, preferably in setting up process models, and techno-economic and environmental assessments. You are interested and able to develop model-based methods for assessing costs
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lack of rapid tools to understand and monitor the spread of pathogens. Building on our previous work on DNA tracing technologies, we aim to develop tools and procedures to model and monitor the spread
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their research on the spread potential and impacts of non-native plant species in mountain ecosystems based on field observations, ex situ experiments and data-driven approaches. The candidate will join a field
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Position: Bioprinting next generation functional tissues The field of tissue engineering and bioprinting is continually advancing to develop functional tissue models that more accurately mimic native tissue
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properties of bacterial communities (called “biofilms"), particularly in the context of human infections. Our projects are based on highly controlled laboratory experiments or clinical samples. Biofilms
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properties of bacterial communities (called “biofilms"), particularly in the context of human infections. Our projects are based on highly controlled laboratory experiments or clinical samples. Biofilms
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of adaptive radiation and associated key innovations in the evolution of freshwater diatoms. By integrating morphology, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine
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will develop and apply advanced methodologies, including scenario analysis and the innovative use of satellite data, to model the exposure and vulnerability of companies to climate-related hazards (e.g
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with large language models (LLMs). The successful candidate will investigate both theoretical aspects – such as understanding the mechanisms and limitations of reasoning in modern LLMs – and practical