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to staff position within a Research Infrastructure? No Offer Description The successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep learning models
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-doctoral researcher to work on projects in the application of data science and AI methods, particularly machine learning/deep learning methods. You will join the BioFIN project which is developing new tools
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Vacancies Researcher (Postdoc) Deep learning for geophysical observables extraction and inversion: Toward characterizing the Dutch subsurface Key takeaways The global initiative to complete
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to undertake this pilot project. The project lies at the interface of electromagnetic modelling and theory and deep learning methods. You will develop methods and test them towards the inverse design of state
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of Oxford and Valencia, on a large-scale European project. The focus of the postdoc project will be on using advanced numerical simulation modeling software and machine learning techniques to quantitatively
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. Hunger for learning "new" things. Independent and critical attitude. Strong work ethic and integrity. Candidates who have experience in any of the following attributes: Experience applying deep learning
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engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer programming is required. Experience in machine learning and data analysis is highly desirable but not
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initiative. Hunger for learning "new" things. Independent and critical attitude. Strong work ethic and integrity. Candidates who have experience in any of the following attributes: Experience applying deep
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command