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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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analysis of existing models and model requirements to predict non-CO2 greenhouse gas emissions on regional level across Europe, including their ability to assess the impact of mitigation measures across time
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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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related discipline. A strong foundation in at least one of: electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling. Experience with
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Project description The project focuses on the design and analysis of modes
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system models used for the design and safety assessment of complex systems. Where to apply Website https://phd.fbk.eu/calls/detail/failure-propagation-analysis-for-safety-assessm… Requirements Research
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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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Mathematics (Fraunhofer-Chalmers Centre, FCC) Employment: according to agreement Location: Gothenburg, Sweden Department: Systems and Data Analysis (in close collaboration with Chalmers) Application procedure
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. Where to apply Website https://www.academictransfer.com/en/jobs/364067/phd-position-physics-informed-g… Requirements Specific Requirements You hold an MSc degree (or will obtain one before the starting
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17 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire de mathématiques de Bretagne-Atlantique Research Field Mathematics History » History of science Researcher Profile First