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nanoconstructs. The primary goal is to build an AI-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns
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include: Implementing the classical components of the Sample-Based Quantum Diagonalization [1] method within the MiMiC multiscale simulation framework Developing and integrating a communication interface
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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with the laser-based material processing experts at the Institut für Strahlwerkzeuge (IFSW) at the University of Stuttgart. The fabricated gas-filled cells will then be investigated in the 5th Institute
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Black Widow spider, Latrodectus tredecimguttatus . The work will primarily involve conducting behavioral experiments and applying LC/MS and GC/MS based metabolomics approaches to comprehensive explore
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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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scientific disciplines. Employees with different backgrounds conduct research in national and international research co-operations. The IGZ is based in Großbeeren near Potsdam and near Berlin and is a member
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well-grounded and at the same time
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms