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bioenergy and the integration of renewable energy in the energy system Resource efficiency with a focus on energy efficiency, low emissions and recycling of nutrients and materials Digitalization for energy
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-signal experimental data. Knowledge of data processing methods using scientific programming and advanced digital tools. Knowledge of safety regulations applicable to corrosive chemical environments, high
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-generation Brain Foundation Models as part of the Stanford Digital Brain Project. The fellow will work closely with Professor Ehsan Adeli(link is external) and Professor Dan Yamins(link is external) , as
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Sciences (HVL). The project brings together universities, public authorities, NGOs and umbrella organisations from across Europe and New Zealand to explore how participatory theatre and digital practices can
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),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
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digitized archives of early modern public-private colonial companies, including for example the Dutch East India Company (VOC) and the English East India Company (EIC). This postdoctoral project asks how
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of experimental datasets with modeling and simulation frameworks Dynamic simulation and digital twins for industrial chemical processes Process optimization and model-based decision support tools Development
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and privacy. The lab's mission is to provide individuals with control over their privacy and protection from digital threats. We want to work towards a future where digital services are inherently
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Joint Undertaking (Chips JU) and the Spanish Ministry for Digital Transformation and Civil Service, and is supported by funds from the Recovery, Transformation and Resilience Plan (PRTR). Share
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digital twins for industrial chemical processes Process optimization and model-based decision support tools Development of computational tools for process monitoring and predictive analysis Candidate