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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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. Special focus will be put on the development of microfluidic systems based on acoustofluidic chromatography and enrichment (trapping) of submicron particles, especially biological nanoparticles such as
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origins using AI-based tools Subject description Artificial intelligence (AI) is transforming forensics by enabling unprecedented precision in tracing the geographical origins and transmission routes
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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
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regulation, reproductive ethics, and ethical issues related to impaired decision-making capacity. Within our research group, we prioritize a good working environment based on mutual respect and care. We strive
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to design projects. A positive and driven personality. Terms of employment This is a full-time, fixed-term position for two years starting on 2025-12-01, or as agreed. Employment at Lund University is based