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catalytic processes. The work aims to advance technologies that enable more resource-efficient and environmentally friendly production methods. About us This position is at Chemical Engineering division
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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are stated in KTH's appointments procedure section 1.3, and apply in relation to the employment profile laid down. Of highest importance is that the applicant has research expertise demonstrated through
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processes and systems for increased resource efficiency and digitalisation, with the aim of supporting the transition to a more sustainable and renewable energy system. In close collaboration with industry
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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commercial state-of-the art MMIC foundry processes and world-class measurement infrastructure allowing for a successful completion of this research project. At the Microwave Electronics laboratory currently 5
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the entire industrial process — from identifying needs to delivering the final product — while generating added value. The department stands out both nationally and internationally through its ability
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
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application! We are looking for up to 10 teaching assistants to the Department of Computer and Information Science. The position We are looking for up to 10 teaching assistants to support examinators in