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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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on developing energy-efficient, privacy-preserving IoT systems to enable proactive elderly care at home. More specifically the main responsibilities of the PhD candidate will include: Designing and deploying
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for these types of experiments at the single cell level. Your primary tasks will be to: Design and conduct experiments to generate high-quality datasets Analyze and interpret complex datasets related to gene
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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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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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during emergencies and is based on high-temperature PEM (HT-PEM) technology. The HT-PEM stacks operate at approximately 160 °C, offering simplified designs and operational advantages, including improved
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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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: 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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. 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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. The candidate will design algorithms that synchronize and fuse heterogeneous data sources to improve perception robustness under variable underwater conditions. Segmentation and classification: Training