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Field
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the research project – “Neuro-symbolic geometric foundation models for interpretable crystal materials design”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants
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different areas of mathematics. One position will focus primarily on geometric and structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical
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of thermal effects on force generation, material properties, and geometric clearances. Validate numerical models against experimental results and data available in the scientific literature. Disseminate
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, geometric deep learning, representation learning, generative models, or multimodal learning; familiarity with scientific data formats, APIs, databases, cloud computing, high-performance computing, Docker
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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uniqueness problems in geometric evolutions arising from fluid dynamics models. We will focus on: (i) long-term regularity and the existence of periodic orbits for a class of free-boundary Euler equations
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covers rendering, real-time rendering, modelling, animation, simulation, game engine development and foundational mathematics. Research in areas such as shape modelling, geometric and topological modelling
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operations. • Must possess thorough and complete understanding of Geometric Dimensioning and Tolerancing (GD&T). • Familiar with various manufacturing processes including, but not limited to, heat treatment
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the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Within the project «FLASh: Fast simulation
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/CAM programming and CNC machine tool operations. - Ability to read technical drawings. - Practical experience using/applying/interpreting drawings with geometric dimensioning and tolerances (GD&T