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You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream Processing, the Internet of Things, Edge
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, Machine Learning Eligibility criteria The successful candidate will be expected to make significant contributions to the development of robust damage assessment tools for complex industrial structures
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approaches to obtain a digital twin that is trained using both physics based metamodels/insights and measurements on the physical asset. To accelerate the training of the machine learning architecture, reduced
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-temporal, and multi-resolution satellite imagery. If you are passionate about advancing the field of Earth observation with artificial intelligence and have a strong background in machine learning
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data processing, photogrammetry, computer vision, and big data/machine learning. You have knowledge of fundamental principles, algorithms of computer vision, and machine learning methods. You have
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LanguagesENGLISHLevelGood Additional Information Benefits The requirements for the position are: Obtained a PhD in a relevant field, and high quality publications Machine/deep learning algorithms. Biomedical data
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agenda that synergetically adds a hardware dimension to the AI expertise that is present at the STADIUS and e-Media research groups, which currently includes machine learning, signal processing
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APRIORI (Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance). The European manufacturing sector is experiencing and will continue experience a transition, characterized by the
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machine learning, computer vision, or remote sensing, we encourage you to apply and be part of this journey towards revolutionizing Earth observation big data analysis. Requirements Research
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if applicable. * A list of your completed courses related to robotics, mechatronics, or machine learning, including online courses. * Your earliest availability. * Explain shortly how you could support teaching