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priority research areas. Since 2008 REMESO’s PhD education is integrated with an international Graduate School in Migration, Ethnicity and Society. More about the REMESO research environment here https
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and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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skills. As the role involves work in an international environment, strong collaboration skills are essential. Given that the work involves contact with research patients in medical studies, an empathetic
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on
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at the Department of Science and Technology, Campus Norrköping. As a doctoral student, you will take part in a project exploring how AI can create engaging and interactive educational environments. You will
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to work effectively in a team with diverse technical and cultural backgrounds. You are willing to travel and to learn new techniques in different research environments, and you collaborate well with others
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air
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dynamics in urban environments. Gas dynamics shape air quality, greenhouse gas fluxes, and emergency response capacity. Yet, current modelling approaches are incapable of inference from diverse sensory data