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Apply now This PhD position is on logical modelling of accountability and responsibility of agents. It is part of the ELSA (Ethical, Legal, & Societal Aspects of AI) lab on Legal, Regulatory, and Policy
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integrated into routine occupational hygiene practices and to validate the resulting risk models. The project will be conducted in sectors where exposure to biological agents is likely and where ongoing
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system dynamics, agent-based modeling, and discrete choice experiments. A passion for improving healthcare systems, particularly in oncology, and an understanding of patient preferences in the context
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working closely with collaborators; familiarity with or a keen interest in developing mechanistic models of dynamical biological systems (differential equation-based modelling, agent-based modelling
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authorities? Then read on! As researcher data analysis and modelling of emissions of crop protection agents in relation to spray technology and environmental assessment you will contribute to new developments
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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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. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world
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of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
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with established causal models. Ultimately, you will design algorithms for causality-based analysis and counterfactual recovery of liveness violations. Information and application Are you interested in
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interfaces, and ethics and regulation. What you will be doing Inform a research agenda on the PhD topic for a timespan of four years. Develop mechanisms, interfaces, models, and systems for responsible AI