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similar degree with an academic level equivalent to a two-year master's degree. You are highly motivated to help solve the global energy problem and you want to work in a big, diverse research project
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collaborations. Practical experience with waste materials, and experience in laboratory work related to microplastics and/or chemical risk assessment is a large plus. A proactive and independent work style. A
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof
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This project explores the use of state-space models (SSMs) for sequence modeling in large language models (LLMs), focusing on their CMOS-based hardware implementation. The PhD candidate will develop energy
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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will be working primarily with air quality measurements and analysis of air quality data. The position will focus on indoor and outdoor air quality in relation to children and health. You will be
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be one of the topics below. (PhD#1) Multi-Robot Systems (MRS). Study and development of MRS based on swarm robotics to navigate fields with robotic implements using Digital Twin information. The MRS
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innovative technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a