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energy efficiency during the training process and (ii) science yield (sensitivity / resolution) during inference. A key aspect is to benefit from hybrid HPC + AI approaches within the workflows
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benchmarking of large language models (LLMs). The research profile of the group is heavily machine-learning oriented and the group has access to excellent HPC infrastructure. For more information about LTG
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for scientific discovery; integration of HPC and AI and AI-enhanced numerical methods; explainable and trustworthy AI for STEM applications; and mathematically grounded approaches applied in STEM contexts, such as
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coastal hub. Read more about working at Chalmers and our benefits for employees. AIMLeNS offers: Access to state of the art HPC computing facilities (BerzeLiUs, Alvis) Mentorship for career development
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familiarity with high-performance computing (HPC) are required. At the University of Michigan School for Environment and Sustainability (SEAS), we are at the forefront of building a more sustainable and just
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this research, the faculty member will have access to the University of Alabama’s state-of-the-art High-Performance Computing (HPC) cluster. This resource provides the computational power necessary
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AI, or active learning for materials applications. Integration of theory and experiment: Using computation and ML to interpret or guide experimental work. High-performance computing (HPC) and data
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comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support
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expected to conduct simulations on Linux-based high-performance computing (HPC) systems. A strong command of English, both written and spoken, is essential. LanguagesENGLISHLevelExcellent Internal
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC