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Field
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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networks, both ancient and modern), it is possible to reconstruct the privileged links that connected Magdalenian groups by analyzing the similarities in their artistic productions. In the current context
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
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-of-the-art machine learning methods, acoustic sensing can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health
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design of complex physical systems. The group is jointly embedded at Saarland University and DFKI in Saarbrücken. Current Research Directions include: AI for scientific computing – neural operators and
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11 Jul 2026 Job Information Organisation/Company University of Antwerp Research Field Computer science » Other Engineering » Communication engineering Engineering » Electrical engineering
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. To achieve this ambitious objective, we will build on recent breakthroughs in proof logging, where solvers do not just output an answer, but also a machine-verifiable proof (or certificate) of correctness
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behavioural interventions in healthcare. However, current conversational AI systems remain limited in their ability to operate reliably across diverse clinical contexts. They often lack generalisability