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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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., finite-element analysis) of scorpion species. Exploring evolution and biodiversity of Australian scorpions through methods such as phylogenetic analysis, geometric morphometrics, distribution modelling
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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secondment(s):•HCT: Dr. K. Schuster M21-26 (6 months duration) “Cylinder drilling, geometrical adaptation towards smaller preforms”•Iscte: Prof. T. Alves M41-M42 (2 months duration) “Experimental demonstration
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refine multi-BCDI measurement protocols for imaging hybrid protein-mineral structures. (3) Collaborate with experts from ESRF, TUD, and Weizmann Institute, integrating findings into a geometric frustration
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structural assemblies to nanomechanical resonators. In the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures
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22 Aug 2025 Job Information Organisation/Company UCT Prague Department Department of Informatics and Chemistry Research Field Computer science » Modelling tools Chemistry » Structural chemistry
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, crystallization, or molecular aggregation/switching. The BEAM projects cover a wide spread of topics, including theoretical physics and chemistry work. For example, our targeted syntheses are supported by models
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. The BEAM projects cover a wide spread of topics, including theoretical physics and chemistry work. For example, our targeted syntheses are supported by models of self-assembly for specific types of molecules