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properties. Keywords Machine Learning; Artificial intelligence; Materials Science; Autonomous Experimentation; algorithm development; materials property prediction Eligibility citizenship Open to U.S. citizens
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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similar In the research group Navigation Mobile Robots, we develop autonomous robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development
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Australian National University | Canberra, Australian Capital Territory | Australia | about 4 hours ago
knowledge and experience in computing, algorithm development, computer simulation, and/or artificial intelligence and machine learning; has excellent communication skills and a demonstrated ability to
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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, Position 2 on adaptive policies, and both will work jointly to integrate the two approaches into a single RL algorithm. While the work is mainly methodological and theoretically focused, our Aalto robot lab
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languages ( e.g. , Python, C++) for algorithm development, simulation, and data analysis Background in real-time signal processing ( e.g. , time-series data, filtering, feature extraction
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work jointly to integrate the two approaches into a single RL algorithm. While the work is mainly methodological and theoretically focused, our Aalto robot lab offers the possibility to evaluate the