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Field
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. You conduct your research under the guidance of an international team with the aim of obtaining a PhD. You are part of the Computational Mathematics research group in the Mathematics and Statistics
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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, effectiveness, efficiency, and usability of both established and emerging MRV tools, as part of an exciting HORIOZON project entitled MARVELA. The research will focus on key agricultural practices, including
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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-pilot, Cursor). Preferred: Experience with legal data analysis, especially tax rulings or court decisions. Additional Information Benefits Why join the AITAX project? 🌍 Make a Difference: Work on a game
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without the need for additional invasive measurements. The research is embedded within the Quantitative Healthcare Analysis (qurAI) group and conducted in close collaboration with the CARA Lab and clinical
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
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a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in