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Field
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position to develop a cutting-edge AI decision-support tool for predictive maintenance and optimization of building energy management systems and technologies (i.e., Heating, Ventilation and Air
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challenges in sustainability research: many consumers want to act sustainably but often struggle to turn these intentions into everyday behavior. At the same time, conversational AI tools are becoming part of
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necessary time and size scales, enabling realistic thin-film growth simulations with near-quantum accuracy at a fraction of the computational cost. The tools developed in this position have the potential
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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assessments to guide decisions about energy systems, infrastructure, industry, digital technologies and climate policy. The project starts from the observation that such tools do not simply describe possible
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience
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(fabrication of nanomaterials) and electronics (quantum devices). This project is interdisciplinary, and the PhD candidate will be part of a larger group using pulsed laser deposition as a tool to engineer new
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environmental and societal sustainability. The position is linked to Work Package 5: Sustainable Wind Development, which develops tools and knowledge for reducing environmental and community-related conflicts and
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, environmental research, and open-source software development. You'll contribute to tools and knowledge that directly inform how we monitor and respond to some of the planet's most pressing environmental
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with colleagues. Proficiency in written and spoken English is required. Knowledge of Danish is an advantage in relation to teaching and data collection, but it is not a requirement. Please note that non