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of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how
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skills, including the ability to plan and manage multiple tasks efficiently. A willingness to learn new methods and approaches from related fields. Strong teamworking, communication, and interpersonal
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employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community
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employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community
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isotope analysis, or ecophysiology. Demonstrated experience with ecological datasets, statistical analysis, and/or provenance trial experiments. Excellent organizational, communication, and collaborative
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Previous experience with in vivo animal models is advantageous Excellent communication skills in English (oral and written) are a must High motivation, strong interest in skeletal research, durability
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: Experience supervising MSc & PhD students; project coordination & management skills Communications: Excellent oral and written communication skills in English Personal skills: Creative, organized, self
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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and a comprehensive employment conditions • Supportive mentorship and a vibrant, international academic community. Application materials Only applications submitted through the online platform
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, transgenics, conditional knockouts, and metabolic functional assays. • Demonstrated ability to design and execute hypothesis-driven research. • Strong organizational and communication skills, ability