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based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating
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in materials characterisation and solution composition modelling will contribute to the efforts of our cross disciplinary team, for whom the aim is to understand solid-fluid (water and gas
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Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, or a related field Strong hands-on experience in several of the following areas: Microfluidics (design, fabrication
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writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four
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opportunity to make a real impact. At DTU Biosustain, you will work at the forefront of developing next-generation microbial cell factories for sustainable production of chemicals and materials. Here, you will
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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strategies for conventional HVAC systems that condition entire indoor spaces using existing thermal comfort models, which could improve the performance of existing buildings and HVAC systems. The work will
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for industrial decarbonization with emphasis in system development, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and