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for safeguarding financial stability and international security. This project investigates how blockchain analytics and data engineering can enhance the detection of illicit activities across these decentralised and
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Group Context: The Analytics and AI Group includes 11 researchers and 2 PhD students. Focus areas: hybrid AI, reinforcement learning, model predictive control, industrial applications (robots, wastewater
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security. This project investigates how blockchain analytics and data engineering can enhance the detection of illicit activities across these decentralised and increasingly complex networks. By deploying
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of the crypto-asset ecosystem is vital for safeguarding financial stability and international security. This project investigates how blockchain analytics and data engineering can enhance the detection of illicit
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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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analytical skills for model formulation and optimization Demonstrated research potential, ideally with a track record of publications in relevant venues (journals such as IEEE T-ITS, INFORMS Transportation
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Chemistry with a specialization in Analytical Chemistry The Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC The Department of Chemistry – BMC conducts research and education in analytical
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degree in analytical chemistry or environmental sciences with an interest in biogeochemistry. He/she is passionate about environmental issues, rigorous and highly motivated. Experience in analytical
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This PhD project aims to develop and apply innovative photogrammetry-based analytical tools to enhance the spatial and structural characterisation of pharmaceutically relevant materials, with a