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Field
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developing AI methods for automated microstructure analysis and 3D microstructure generation. By combining self-supervised learning and diffusion-based generative models, the goal is to: Reconstruct high
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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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motivation to learn, cryo-EM data collection, image processing, and 3D structural analysis. Prior experience with cryo-EM single-particle analysis (SPA) and/or cryo-electron tomography (cryo-ET) is a strong
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for cell sheet models in 2d, and for experimental 3d systems of entangled active polymers that share properties with clusters of living worms. This project involves an interdisciplinary team with broad
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the drivetrain. Alternative machine topologies such as axial flux, transverse flux, and homopolar designs offer unique advantages by enabling 3D flux paths, novel cooling strategies, and increased architectural
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enabling 3D flux paths, novel cooling strategies, and increased architectural flexibility. Aim This PhD project aims to explore and optimise new electric machine topologies that go beyond conventional 2D
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. Knowledge of basic chemistry as related to research design and experimentation. Familiarity with basic molecular biology techniques such PCR and RT-PCR. Desirable Qualifications: Experience with 3D cell
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The TRR404 "Next Generation Electronics With Active Devices in Three Dimensions [Active-3D]" is a Collaborative Research Center/Transregio between TUD Dresden University of Technology and Rheinisch
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their swimming dynamics and the mechanical deformations caused by the encapsulated active biomolecules, you will explore ways to control their motion in 3D space. Synthetic microswimmers have many potential
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, through clever chemistry that attracts CO2 to the surfaces of 3D spongelike materials (such as metal-organic frameworks, or MOFs); and decarbonise the energy sector by designing new catalysts that will