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the broader framework of Embodied AI. The goal is to integrate physical models with deep learning to create interpretable, data-driven observers that enable physically grounded perception and control for robust
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this impact; You have experience and/or willing to learn quantitative modelling, risk assessment, and ESG evaluation; Experience with data-driven decision-making tools and frameworks is an asset; Proficiency in
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FOR THE HIRING OF AN INITIAL LEVEL PHD, "PROFIT – PRocedure Optimization and data-driven eFficiency Improvement in healthcare environmenTs" PROJECT, IN AN EMPLOYMENT CONTRACT WITH AN UNCERTAIN TERM, FACULTY
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and their components. Experience in modelling distributed energy resources, optimization and decision making, and district level energy management. Experience in data-driven modelling, AI techniques
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At the Faculty of Engineering and Science, Department of Materials and Production one or more positions as PhD stipend in Artificial Intelligence for Autonomous Systems, within the doctoral
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photovoltaics (PV) was identified by the IPCC as the technology with the highest potential among emission mitigation options. Scientific studies modelling energies scenarios for net zero emissions by 2050 project
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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the technical feasibility and performance of industrial heat pumps in steam generation and recovery. => Design options and technology inclusions Develop models to quantify the flexibility potential of electrified
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20 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Industrial engineering Political sciences » Policy studies Political sciences
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation