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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures. We invite applications for a postdoctoral research
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uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue
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researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do
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variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
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for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research
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processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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Senckenberg Museum of Natural History is located in a historic town with a region that is particularly close to nature and well worth living in. This position aims to describe differences in structure and
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progress in human, animal health, and agriculture, but no progress for the environmental sector. The aim of this project is to fill this gap by launching a new international network — a UK-Chile