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Field
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a postdoctoral research
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undergoing a high continuous physical workout like mining, farming, and emergency services, all of whom work in harsh conditions – and people who are working in less extreme environments, elderly people living
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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environments Active Sensing Mechanisms: Studying how animals actively sample sensory information to guide behavior and decision-making Environment-Behavior Interactions: Examining how different environmental
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laboratory notebook; conduct data mining. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Write research reports, presentations and
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first author publications in reputable peer-reviewed journals Advanced quantitative skills (e.g., advanced stats [MLM], machine learning, data mining). Willingness to develop desired skills (see directly
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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attention to digital footprint reduction and data privacy.Functions to be developed:Develop methodologies and experiments to measure and optimize the energy consumption of IoT communication