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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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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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Are you interested in making the processes for building machine learning models more transparent and explainable? Would you like to work in interdisciplinary teams to uncover the needs of clinical
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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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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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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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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
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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Vacancies PhD position ‘trust-building strategies in societal crisis dynamics’ Key takeaways As a crisis unfolds, tensions in society can quickly increase, escalating into stronger positioning
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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