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Field
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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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agreement (preferably, 2025 Q2) Duration: Yearly contract for 3(+1) years, renewable based on performance and funding availability About the Position The successful candidate will contribute
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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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of vaccines and antiviral agents. These studies often involve interdisciplinary collaboration combining virological, veterinary, pathological, and immunological expertise. Your tasks will include: • Preparing
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the form of, for example, agentic systems or other abstract AI-pipelines, but research has shown that existing frameworks are brittle. If successful, though, such systems can uncover high-value insights from
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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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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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of mycotoxin prevalence in Indiana, identification of causal agents responsible for mycotoxin production and conducting research to develop environmentally sound, economically feasible, and sustainable mycotoxin
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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
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. They work together to enhance our understanding of intelligence, cognition in autonomous agents, and teams of agents in the context of mediatised worlds. The insights are then transferred into a new