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-motivated, with a background in building technology, thermal engineering, mechanical engineering, material science, or chemical engineering, and a strong interest in smart materials (e.g., MOFs) and
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: Specialization in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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are looking for a passionate PhD candidate in Thermal Energy Systems with strong programming, optimization, and dynamic analysis of energy systems. This position is on the Horizon Europe-funded project
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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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improving thermal management for data center power applications. Your primary tasks will include: Exploring innovative magnetics and capacitors integrations. Investigating advanced packaging techniques
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analysis of unbounded operators, preferably with a prior acquaintance with quantum transport, decoherence and thermalization in connection with spin-boson models. Experience with Schrödinger operators is a
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, building energy and installation, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops
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sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is located in Esbjerg. The mission is to