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control strategies that strengthen their disturbance-handling capability. The work will be carried out with in a MSCA-DN doctoral training network with research stays at DNV in the Netherlands, Aalborg
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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. The research team focuses on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but
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advanced methods in AI and machine learning, combined with atomistic spin dynamics and first-principles electronic structure calculations, to study complex nanomagnetism. A specific goal of the project is to
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(CFD) of new solutions for capturing biogenic CO2 from point sources. The work will consist in creating simulations tools based on CFD to simulate details on CO2 capture by solvents in complex geometries
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and autoimmune diseases. Camilla Engblom: https://www.scilifelab.se/researchers/camilla-engblom/ Eduardo Villablanca: https://ki.se/en/research/research-areas-centres-and-networks/research-groups
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chains. Current research areas include circular logistics networks for sustainable consumption and retail distribution, supply chain preparedness and risk management, digitalization, process and business
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. This leads to classical questions in computational complexity theory—though often with new, fascinating twists—but also involves work on devising clever algorithms that can exploit the power of such paradigms
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obtaining external research funding and participation in major research projects (Swedish and/or EU) an established international/Swedish network and experience in collaborations with universities and
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constraints, scarce data, and high variability. In particular, there is a need for a better understanding of how embodied cognitive agents can learn to solve complex problems and adapt in dynamic real-world