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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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accelerators; developing processor enhancements to increase throughput, reliability and/or power efficiency for selected and implemented algorithms; proposing and supporting processor enhancements
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data and the algorithms need to comply with local legislation. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical mobile applications. Investigate
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like to work in an interdisciplinary team with lawyers, oncologists, ethicists, and AI specialists to develop algorithms and development methods for accountable AI? Then this position may be for you! In
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managing EEPS-related industrial activities during the preparatory phases of Scouts mission, ensuring the handover to the Project Department after approval; acting as the focal point for EEPS development
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currently lack guidance on how to create sustainable systems. You will develop a method to help development teams choose the right algorithm and right hardware. This can be done by measuring (during the above
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objectives with societal indicators, geophysical algorithm development and related research activities; supporting the implementation of the renewed ESA EO science strategy and the definition of future
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will develop a method to help development teams choose the right algorithm and right hardware. This can be done by measuring (during the above-mentioned experiments) how the algorithms are constrained
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infectious disease control and social dynamics. Develop innovative methodologies, publish in top journals, and present at leading AI conferences. Join a vibrant academic community with opportunities