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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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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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environment of the aQa (applied quantum algorithms) group, which is a team of faculty, postdoctoral researchers, and students across the Leiden Institute of Physics (LION), the Leiden Institute for Advanced
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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
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We are looking for an enthusiastic and highly motivated PhD-candidate who is eager to study major evolutionary transitions using mathematical models. You will be embedded in the Environmental Biology
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, such as new algorithms, tools and platforms. remaining up to date with respect to relevant political and regulatory changes that may impact AI in education. playing a pivotal role in the collaboration