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metasurface_Karlsruhe Institute of Technology_Germany..pdf English (140.82 KB - PDF) Download METATUNE-MSCA-DN – DC10_Data-driven methods for the design optimization of resonant reconfigurable metasurfaces_JCM Wave
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
focus on error management is insufficient. Instead, optimal performance emerges from balancing error management with error prevention (Van der Byl et al., 2023). Emerging theory argues for performance
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for biomarker detection exploring redox amplification and dielectrophoresis. Our hypothesis is that specifically designed and optimized 3D carbon micro- and nanoelectrodes fabricated at DTU Nanolab will enable
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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, programming, and computer simulations. The focus of the project (funded by the Danish Council for Independent Research) is to explore the interaction between optimally controlled coherent (laser) light fields
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to graduate before September 2027. Ideally, we then tailor both the coursework and the thesis to the project to be optimally prepared for the PhD position. Your tasks perform high-quality research
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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nature-based systems (composting, constructed wetlands, etc.) to optimize nutrient use efficiency and soil health. Assess the effects of different fertilization strategies on soil quality and health and
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suppliers and select equipment in agreement with the project leader. Operate and monitor the system using a dedicated interface. Design, validate, and optimize protocols for encapsulating biomass in
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described. From a technological perspective, optimizing radiative cavities is critical to improving the performance of TPV subsystems. Efficient cavity designs must maximize useful photon flux reaching