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The Australian Institute for Machine Learning (AIML) offers new supplementary scholarship opportunities for Master's students in Machine Learning. These scholarships support students undertaking
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
approaches to large scale simulations # Basic knowledge of (geo)chemical processes and machine learning will be of advantage # Expertise in Machine Learning approaches, ideally beyond neural networks # Good
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24 Feb 2025 Job Information Organisation/Company Instituto Politécnico de Setúbal Department Setúbal Research Field Engineering » Computer engineering Computer science » Database management
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning component. The work to be
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is with a Rule-Based component and a Machine Learning
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within a Research Infrastructure? No Offer Description Work Plan: The HyCARE project aims to develop hybrid Clinical Decision Support Systems, that is, with a Rule-Based component and a Machine Learning
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future