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Technology of UHasselt. The research activities mainly focus on the design and mechanical behaviour of structures and structural components made of concrete, masonry, steel, timber, and composite and hybrid
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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transformation, innovation, energy and sustainability, development economics and economic demography, as well as financial history, education, and labour markets. More information is available on the department’s
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, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one or more PhD stipends/Integrated PhD stipends in representation
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critical thinking, creativity, strong written/verbal communication, strong interpersonal skills, be able to coordinate between people from diverse fields, and have enthusiasm for learning and mastering new
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, motion capture, or biomechanical modelling. Clear interest in user-centred design and applied healthcare research. Familiarity with machine learning for time-series or physiological data. International
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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- Quantum Reinforcement Learning, quantum computing, QKD - quantum key distribution, entanglement distribution System-level design and optimization AI & Intelligence: Agentic AI, Edge AI, information
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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, the PhD student at ETRO will contribute to the core of the AI pipeline by designing and validating generative models (e.g. latent diffusion-, autoencoder-, and GAN-based approaches) that can infer