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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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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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properties of the extracted compounds, (iv ) scale-up the optimized extraction process for potential industrial application. This is a unique opportunity to contribute to sustainable food innovation while
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon
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system designed to safeguard underwater infrastructure. This is a unique opportunity to dive deep into advanced robotics research, gain hands-on experience with real-world testing, and make your mark in a
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design methodology to improve system efficiency and power density while ensuring cost effectiveness. Our goal is to create next-generation solutions that tackle key challenges in the industry. We
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of international test systems that reveal possible endocrine disrupting effects of chemicals in model organisms, for example fish and invertebrates. Research project: The objective of the project is to design
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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
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geometries”. The position is funded in the context of the project MADE React co-funded by the Innovation Fund Denmark. The PhD student will be working in the framework of the ongoing collaboration between DTU