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The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
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databases containing spectral, chemical, mineralogical, and cartographic data of lunar samples. The role involves using Geographic Information Systems (GIS) such as QGIS and applying machine learning
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person will work within the Information & Computing Lab (I&CLab) research group in the design of contents, materials and activities focused on machine learning, artificial intelligence and IoT
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interpretable machine learning, System integration implementation, Test environment configuration, Validation and stress testing, Deployment and configuration in test environments, Component restructuring, review
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development of prompt engineering, machine learning, and NLP techniques to process data and build this model, adding feedback based on the results. The selected candidate must live in Madrid during the period
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of research staff (contract type: open-ended contract; job category: assistant researcher) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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the job profile (sections 2 and 3 of this annex), as well as to: Programming in Python Use of machine learning libraries: TensorFlow, PyTorch and scikit-learn Development of supervised and unsupervised
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invites applications for tenure-track (Assistant Professor) faculty positions. We are primarily interested in recruiting excellent candidates in the areas of: Machine Learning, including Formal Reasoning
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of research staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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causal modelling. Provide methodological and analytical support to projects aimed at personalised and predictive medicine. Application of artificial intelligence: Provide support in AI and machine learning