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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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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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and motion of hand captured by 3D/4D scanning to the mechanics of the textiles for exoskeleton design. 2. Build and experimentally evaluate textile exoskeletons using lab-based motion capture, pressure
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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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of exercise physiology, athletics, rehabilitation, and injury prevention. The candidate will lead and continue to develop the laboratories biomarker analysis capabilities and should have familiarity with a wide
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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artificial 3D environments. Specifically, this project focuses on two fundamental aspects of human language that give rise to language’s unparallel expressive power – namely its grammatical structure and our
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply