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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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Social and Everyday explainability; application of Machine Learning (such as Reinforcement Learning), Symbolic AI techniques (such as formal systems), or NLP techniques, in Human-AI collaboration; Human
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inventory, a major incentive for the project is the application and adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate on TATTOOS: paTtern formATion Trough biO-inspired cOmputer viSion The
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a PhD candidate in Robot Planning and Learning, you will become part of a dynamic, interdisciplinary research environment at the forefront of AI and Robotics. Our lab focuses on developing intelligent
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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you passionate about brain-inspired AI and sustainable tech? As a PhD Candidate, you will design real-time FPGA-based systems that mimic neural processes, enabling intelligent, on-chip learning for edge
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) is looking for a: PhD Candidate on Exploring Pareidolia in Computer Vision to Enhance Interpretability
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and the learning performance, or using causal representation learning for developing more effective and interpretable MARL with communication algorithms. As a PhD candidate, you will primarily perform