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language processing, large language models and foundation models to address real-world challenges in: (1) clinical practice and patient experience and (2) biomedical innovation and translational sciences
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, or a closely related field, with a strong record of research productivity. The ideal candidate will have expertise in reinforcement learning, optimal control, vision-language models, or Bayesian
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and radiology images. Designs NLP models, including large language models (LLMs), for analyzing pathology reports and other clinical text. Collaborates with clinical partners to identify and refine real
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Qualifications Successful candidates will have PhD completed within the last 5 years in computer science, data science, biomedical engineering, computational linguistics, medical informatics, or a related
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reports and plain-language summaries. Developing and maintaining study/methodological documentation Building and supporting relationships with partner organizations Facilitating engagement and knowledge
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and radiology images. Designs NLP models, including large language models (LLMs), for analyzing pathology reports and other clinical text. Collaborates with clinical partners to identify and refine real
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for policy and OH&S audiences; contribute to the final technical report and plain-language summaries. Developing and maintaining comprehensive study/methodological documentation; Troubleshooting and problem
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their research independently and free from administrative constraints. The working language is English. Each fellow is a member of both a university department and the Zukunftskolleg. Additionally, fellows