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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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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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application of spatial microsimulation and agent-based models in relation to the Horizon Europe project MOBI-TWIN ( https://mobi-twin-project.eu ). ????-TWIN is a Horizon Europe project that investigates
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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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Apply now Post-doctoral Researcher and Project Manager: Agent-Based modeling of the first hominin migrations into western Eurasia The Department of Archaeological Sciences, Faculty of Archaeology
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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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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
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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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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the assessment of an impact dimension, which could be used as a model for impact assessment as a more general method of ethics for SDTs. This contributes to Objective 3 (New approaches for ethical assessment and