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systematic phases: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and
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. The candidate will design algorithms that synchronize and fuse heterogeneous data sources to improve perception robustness under variable underwater conditions. Segmentation and classification: Training
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September1, 2025, or soon thereafter. Who we are At Department of Health Science and Technology (HST) we conduct research, teaching and innovation within e.g. medicine, biomedicine, biomedical engineering
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: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept. Responsibilities and
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The PhD position is supported by the project mInt: Human-centered design principles for effective management of social boundaries in interoperable text messaging platforms, funded by a DFF Inge
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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Doctoral Candidate in the IntelliWind network, your primary research tasks will include: Designing and implementing a versatile, modular autonomous decision support system (DSS) to improve operations and
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of