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concern, especially in unexplored environments characterized by uncertainty. These PhD positions offer an unparalleled opportunity to advance real-time trustworthy autonomous systems. Collaboration with
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skills, memory and the built environment, with a specific focus on the interplay between rhythms in the built environment and the brain. The educational background of the candidate must include
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, hybrid systems and green hydrogen technologies. You will be part of a dynamic work environment with a pleasant team atmosphere, where you will have the opportunity to grow and develop your academic
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environment where knowledge sharing, and collaboration are keys to succeed. Additionally, your CV comprises: Hands on experience in cleanroom work. Hands on experience in setting up and performing experiments
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AI-based algorithms Programming knowledge (e.g., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in
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-sustainable landmarks has the potential to have a positive impact for the environment, but this can only be unleashed if people decide to engage with new solutions. We aim to advance the understanding
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. Responsibilities User environment such as humidity and gases influence performance of electronic devices due to the failure mechanisms caused by corrosion, which also depends upon the electronics parts operating
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advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by
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environment such as humidity and gases influence performance of electronic devices due to the failure mechanisms caused by corrosion, which also depends upon the electronics parts operating parameters such as
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multidisciplinary team and research environment, the candidate is expected to take leadership of the project, be learning oriented and work proactively within the group and with collaborators. In this specific