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have knowledge of software development principles, and machine learning, including deep learning experience, as well as a strong background in research processes, including report writing, and producing
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machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational performance while enabling more
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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interdisciplinary research hub dedicated to the study of how machine learning and AI algorithms are transforming societies. LCAL pursues one of the most urgent questions for contemporary society: how do we wish
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an outstanding environment in which to develop machine learning tools and engage with an interdisciplinary community of researchers with an interest in AI for healthcare. The post holder will have opportunities
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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-disciplinary collaborative research Knowledge of analysis software and machine learning techniques BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background
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further develop research software, such as simulation environments, data pipelines and infrastructure, for the training and evaluation of machine learning models within distributed AI. Contribute to and
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substantial experience of machine learning in a research or industry environment, and have the ability and willingness to combine machine learning research with sustained engagement with historical and