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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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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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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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is part of SDU’s strategic effort to advance PtX technologies through experimental validation and intelligent control. The research combines hands-on laboratory work with AI-based approaches
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
materials as central components for engagement. These tools will be designed and tested through participatory and practice-based methods. Yet, depending on the candidate’s background and evolving project
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for blockchain-based systems. Develop mathematical and computational models for simulating and analysing various economic properties of blockchain-based systems. Design and evaluate token economies and governance
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, integrated assessment or agent-based models) and/or research on sustainability transitions and transformations will be highly regarded. Strong communication skills and the ability to work independently and as
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good