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is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and systems. Generally speaking, thermal runaway is a chain reaction
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(CED, www.ed.lu.se ) includes numerous researchers active in the fields of economic history, economics, social sciences, and medicine. Affiliated researchers work on economic and social issues connected
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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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fluid mechanic modelling of particle trajectories in acoustically actuated microfluidic systems. Experience of acoustic enrichment/trapping of nanoparticles or extracellular vesicles Experience in
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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, molecular genetic and cytogenetic techniques, and functional models of somatic genetic changes to understand how childhood leukemia arises and develops. Our long-term aims are to use our increased