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immunocompromised patients. Resistance is often acquired before patient infection through environmental exposure to fungicides, highlighting the urgent need for effective outbreak tracking and control. This PhD
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be utilized to optimize the human comfort in combination with energy efficiency. The first part of the PhD will be the optimization of a web application used to control a smart floor of a building. The
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recycle content crush alloys. The main objective of the project is to understand the deformation behaviour of the high recycle content crush alloys and the role of tramp elements in controlling the final
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power. Your primary tasks will be to: Develop a detailed 3D multiphysics model of the HT-PEMFC stack to analyze and optimize thermal management. Design a heat recovery system, tailored
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criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with
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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM
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and research, in and outside academia. About the project The proposed research aims to optimize the design of timber building systems with innovative connections and achieve an extended service-life
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of