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Field
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. Computational modeling and data-driven analysis will be used to guide material selection, molecular design, and performance optimization. Experimental input will be limited and used selectively for validation
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Engineering. Food approved microorganisms will be optimized using classical mutagenesis/screening and adaptive evolution. Genetic engineering will be used for guidance and to elucidate the effect of introduced
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documents. The first interview and task assignment. The second interview and assessing the completed task. Additional comments PhD topics PhD-A: Optimized IoRT network for enhanced data quality of IoRT
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for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish
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strong expertise in soft and stretchable sensing (e.g., strain-gauge sensing, EIT, PAT), control engineering, optimization, and modeling, along with a strong interest in (soft) robotic systems. You have
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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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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specifically you will be involved in assessing the dietary intake of iron and zinc in human volunteers eating either a habitual Danish diet or an optimized meat- or plant-based diet. Furthermore, you will be
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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divided into four areas with respective subgroups: »Optimization« »Processes and Materials« »Mathematics for Vehicles, Systems, and Plants« »Analytics and Computing« What you contribute You have completed