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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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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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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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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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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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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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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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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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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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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