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. This project is intended to perform numerical studies and develop a methodology for the numerical analysis aimed at the effective damping of resonance regimes in bladed disks of gas-turbine engines using
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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Associate. This postdoctoral researcher will work under the supervision of Prof. Bo Ji and Prof. Lingjia Liu, conducting research on immersive communication/computation-aware optimization of next-generation
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to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
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thesis, previous experience with neuroimaging, numerical mathematics, optimization, inverse problems, software development, motivation and research interests. The location for this research will be
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with neuroimaging, numerical mathematics, optimization, inverse problems, software development, motivation and research interests. The location for this research will be the workgroup of Prof. Dr
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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resources, funding, and mentorship Your Responsibilities: Lead the design, development, and optimization of scalable AI inference pipelines Implement and experiment with LLMs, GNNs, multi-modal AI, and vision
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operations of the Office of the Vice President for Student Affairs. This role entails a mix of advanced administrative duties, project coordination, and key liaison activities, ensuring optimal office