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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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for optimizing synthetic biology tools for expression of complex heterologous peptides and proteins. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competencies
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(preferably, but not necessarily limited to, laser-based materials processing) and/or advanced data-driven reduced-order modelling and optimization. The postdoc position will involve digital twin development
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
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extent. The position is offered in relation to the research group “Power Electronic Control, Reliability, and System Optimization " and the Postdoc will be positioned to the section for “Applied Power
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for the construction industry and enable CO2 capture from the atmosphere. Your objectives will include to: Develop new optimization and/or machine-learning based reconstruction and segmentation algorithms to improve
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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translate fundamental insights in membrane technology into practical, impactful solutions. Responsibilities and qualifications Develop and optimize highly structured membranes for membrane distillation. Lead