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development skills for automation of many knowledge-based tasks in a version-controlled environment. Strong strategic planning, community engagement, communication, and public presentation skills. Prepare
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iterative linear solvers — communication-avoiding methods, sparse LU factorization, sparse triangular solves, or preconditioning. Mixed-precision and approximate numerical computation — floating-point
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virtualization-based solutions for sharing a single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate
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defenses in Large Language Models (LLMs). Distributed Machine Learning : Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments
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. Strong communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility
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, and with FPGA development using Hardware Description Languages (Verilog, VHDL, or SystemVerilog). Experience with standard hardware communication protocols (e.g., SPI, I2C, UART, PCIe). Experience in
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. Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience. Valid driver’s license or the ability to obtain a driver license within 10
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problem-solving skills. Excellent written and verbal communication abilities. Experience in characterization techniques such as DSC, FTIR, TGA, DMA, EDS, XRD, Rheology, SEM, and optical microscopy. An
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, collaborative research environment Excellent verbal and written communication skills Preferred Qualifications: Experience working with manufacturing, materials, and sensor data Experience with real-time
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theory. Strong analytic mathematical skills. Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.) Excellent written and oral communication skills. Motivated