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position on Deep Learning Perception for Automotive 4D Imaging Radar! Autonomous driving is a key application of artificial intelligence generally, and vehicle perception specifically. Contemporary
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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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the potential of sparse-to-sparse training of deep neural networks within reinforcement learning frameworks. This innovative approach holds promise for creating highly efficient and scalable AI systems capable
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Vacancies Postdoc position on Scalable Energy-Efficient Deep Learning Key takeaways The successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep
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developing and applying deep-learning models for the construction of polygenic scores. This project involves setting up a framework for the training and validation of deep-learning models that take genotyped
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Research assistant deep-learning applications to polygenic scores in neuroscience and mental health Research assistant deep-learning applications to polygenic scores in neuroscience and mental
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the project ‘Resilient AI by Geometric Deep Learning’. The candidate will be appointed as a PhD student at Tilburg University and will work within the Data Science Center of Excellence (DS CoE) and researchers
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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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efficiency of deep neural networks. Investigate the mathematical underpinnings of sparsity in deep learning and its effects on learning dynamics, and generalization. Implement and benchmark sparse training
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Vacancies PhD position on Sparse Training for Energy-Efficient Deep Learning Key takeaways The main goals of this PhD project are: Develop novel sparse training algorithms that improve