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scalable methods for understanding the inner workings of large language models (LLMs) and LLM agents, with a focus on identifying causal mechanisms underlying tool use, reasoning, and multi-agent
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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further have an emerging research track in the field. We are seeking highly motivated candidates, who work and communicate well in an international team. The candidates must be able to carry out independent
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-Template.docx ] Personal Information Form (use template) [https://www.thegaiaproject.eu/s/2025_0930_GaiaPersonal-Information-Template.docx ] Proof of communication/Letter of support with Supervisor PhD
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or theoretical physics. The candidate must further have an emerging research track in the field. We are seeking highly motivated candidates, who work and communicate well in an international team. The candidates
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will be communicated by the end of February. For general questions about the fellowship, including eligibility and project ideas, contact Carolin Kilian. Where to apply E-mail caki@sdu.dk Requirements
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/2025_0930_GaiaPersonal-Information-Template.docx ] Proof of communication/Letter of support with Supervisor PhD certificate Optional: Up to two letters of recommendation from the graduating university or previous
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Genome integrity field, stem cell culture, light microscopy, bioinformatics will be considered an advantage. Strong communication and collaborative skills and an interest in working in an interdisciplinary