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Experience with machine learning, data mining and data assimilation is a plus Knowledge of git, docker, kubernetes, and/or metadata is a plus Ability to work within a team Excellent interpersonal and
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chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research data to generate meaningful
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. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Conduct independent research on (1) polymer self-assembly and
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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly
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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly
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Experience: Experience in advanced analytical theories, predictive modeling, data mining, and data extraction. Experience in clinical and health services research. Expertise in using various statistical
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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control, from combinations of computational fluid dynamics and experimental data. You will join the Australian Centre for Robotics (ACFR), at the University of Sydney. The ACFR is one of the largest
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magnets today contain rare-earth metals, which are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a
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: A small, international team with open communication and flat hierarchies Specializes in machine learning and data mining for plant genomics Committed to interdisciplinary work combining genetics, data