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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses
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team focused on improving the efficiency, resilience, and sustainability of future transport systems. In the team, we are interested in state-of-the-art models, methods, and technologies to enhance
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The Camunas-Soler lab is opening scholarships for two Postdoctoral Research Fellows to join our interdisciplinary research team (www.camunaslab.org ). These positions are part of a broader program
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the Data-Driven Life Sciences initiative – one of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological
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, or public health data from pathogen surveillance efforts and biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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particular we developed and investigated environmental applications of Scheimpflug lidar and its hyperspectral variety. Our methods have applications within profiling pollination services, biodiversity in both
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of the ProWater Project (The use of industrial by-products as secondary resources in wastewater treatment) funded by the EU Interreg Aurora programme with project partners from Northern Sweden and