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of computer science, data science, computational biology, and cyberinfrastructure to develop and refine research tools, pipelines, and software components. Responsibilities include designing and optimizing algorithms
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systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias
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, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
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effectively over extended distances. For this purpose, it is essential to develop a robust mapping algorithm, that allows for continuous, online map growth during exploration and mapping operations. The map
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hyper-dynamic. Existing graph mining techniques struggle with this complexity and uncertainty, failing to yield actionable intelligence. This research project will develop next-generation, scalable
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functions). Explore model-based RL approaches that integrate learned models with planning and adaptation mechanisms. Hybrid Evolutionary-RL Framework Develop novel frameworks with evolutionary algorithms
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences