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project will explore quantum many-body phenomena in emerging two-dimensional magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced computational
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project will investigate quantum many-body phenomena in novel two-dimensional magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced quantum field
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the formation of two- and three-dimensional DNA structures which
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of Science and the Schneider group within the Leiden Institute of Chemistry are looking for a PhD candidate to join us in the Laboratory of 2D materials. “Ion transport and synthesis of two dimensional
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of Antwerp. See also: https://remotesensing.vito.be/news/sspirit-tackling-plastic-pollution The main task of the KU Leuven PhD project will be the further development and validation of a two versatile
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path planning in three-dimensional space is needed to ensure seamless transitions between materials and structural elements. Addressing these challenges is crucial for advancing 3D/4D printing
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to neurogenerative diseases. Over the past 15 years, the Nanomedicine Lab has made significant contributions to uncover the unique properties of two-dimensional (2D) materials and their applications in biomedicine. We
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Quantum Materials and Devices Lab, led by Dr. Yihang Zeng at Purdue University, is seeking a highly motivated and capable Postdoctoral Research Associate to work at the forefront of two-dimensional (2D
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information at: http://www.ifw-dresden.de . The Institute of Metallic Materials at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) offers a PhD-student-Position (m/f/div
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biomedical and social processes and systems. This work will involve the design of innovative techniques to analyze and model novel, high-dimensional and/or multimodal data in biobehavioral disorders and high