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operate under fundamentally new conditions: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They
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thereafter).The duration of the position is three years. Job Decription Species interact in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the
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reference datasets for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for
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as energy hubs, logistics platforms, industrial ecosystems, and regional transition actors depend on strategic partnerships across complex networks of port authorities, energy companies, logistics
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
working on battery electrodes, thermoelectric materials and ferroelectric relaxors. Main tasks Generate and curate ab initio reference datasets for compositionally complex, defect-containing and
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cutting-edge educational technology spaces can foster embodied and epistemic engagement with scientific practices – helping students not only understand complex concepts and procedures in the short term
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computational modelling. You have experience with Machine Learning and data analysis and are motivated to apply these skills to complex materials and production systems. You are familiar with polymer materials
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of a team developing lightweight, modular robots and digital twins for scalable, precise interventions in complex intercropping environments. Engage in interdisciplinary research integrating robotic
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-leading companies, some of which are part of the vibrant robotic startup community around Odense. The positions are tied to the development of an Automated Service Inspection (ASI) system for wind turbines
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slow. The project reconceptualizes liberal democracy as a problem-solving system whose legitimacy depends on both democratic procedures and the capacity to address collective problems effectively and in