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Field
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, especially in the rapidly advancing fields of meta-materials, renewable energy systems, and intelligent structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship
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to drive the research forward. The network fellows will design and develop robust dispersive components based on sub-wavelength gratings waveguide structures to produce gratings for both intra-cavity and
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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of osteoarthritis). This project aims the following main objectives: Define patient-specific key functional and mechanical requirements for large osteochondral scaffolds. Produce biocompatible porous 3D structures
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-dimensional plasmonic metasurfaces. The goal is to disentangle hot-carrier and thermal contributions and optimize metasurface designs for site-selective hot-carrier generation with minimal heating. The work
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bottlenecks in clinical radiology workflows through observations, structured workflow mapping, and close collaboration with clinical staff. Design, develop, and evaluate AI-based and automated workflow
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chemical libraries for phenotypic target-directed screenings toward selected therapeutic targets; d) Optimize lead compounds obtained from structure-activity relationship (SAR), structure-property-activity
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(m/f/d) for performing fundamental research in the framework of the Transregio "Additive Manufacturing in Construction" funded by the German Research Foundation (DFG). The candidate has the opportunity