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within and beyond the University. We are looking for a Research Fellow to research on the areas of 3D printing technologies using advanced modeling and simulation. Key Responsibilities: Development
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schools and research centres within and beyond the University. We are looking for a Research Fellow to research on the areas of 3D printing technologies using advanced modeling and simulation. Key
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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. The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and
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. Purpose Engineer and productionize components of PIN agents and the supporting training/experiment stack: scalable simulation/emulation harnesses, on‑node runtimes, telemetry, and CI/CD. You’ll collaborate
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highly ranked journals and conferences. Proficiency in the use of full-wave electromagnetic computer simulation software, including CST Microwave Studio. Proficiency in the use of circuit simulators
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. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active
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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q
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software. Collaborate with computational and domain scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer