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Field
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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high infrastructure costs. We will explore (1) learning-based techniques (e.g., LLMs, agents) to capture the intent behind code changes, (2) defining new metrics for test "quality" that go beyond code
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to establish a roadmap, (2) developing models and benchmarks for LLM-based refactoring, (3) designing autonomous agents, and (4) conducting studies to analyse real-world impact. We are committed to creating a
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practices across the circular steel ecosystem. This PhD position is part of the Groeien met Groen Staal program from the Dutch national growth fund (https://groeienmetgroenstaal.nl). The Groein met Groen
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. Flor Miriam Plaza del Arco, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found at https://www.universiteitleiden.nl/en/science/computer