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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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opportunity for a Postdoctoral Research Fellow to contribute to the research program of the Australian Research Council (ARC) Industrial Transformation Training Centre on Current and Emergent Quantum
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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. Perform high-throughput computation for accelerating materials discovery and generate datasets for materials informatics. Work with teams to refine the developed methods and workflows. Job Requirements: PhD
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is eligible for renewal based on performance and mutual agreement between employer and employee. (2) The renewable term is subject to change depending on the continuation of the WPI program, Bio2Q's
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models (LLMs) and AI systems for hardware design. This is an exceptional platform to conduct impactful research in high-performance systems, build new networks with world-leading researchers, author high
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance
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discovery. Nova is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer
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hydrogen liquefaction for future transport and energy storage, quantum technologies (such as computing and sensing), and low-temperature energy systems for space and satellite applications. The project
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