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Field
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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to contribute to its portfolio of research. The Postdoctoral Research Associate will develop new computational methods in knowledge-grounded artificial intelligence, systems modeling, natural language
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inference and natural language processing. A central challenge when drawing causal conclusions from observational data is adjusting for confounding factors. In the social sciences, many of these factors
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, paleogeography, natural hazards and long-term Earth evolution. The successful candidate will have access to the new heiMAG Laboratory for Earth Magnetism, a state-of-the-art facility for paleomagnetic and rock
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Education Required: A PhD degree in biomedical informatics or computer science. Required Qualifications: Prefer research experience in natural language processing. No working experience is required
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hold a PhD degree in the field of physics, optical engineering, biomedical engineering, electronics, or a related field on the start date of the contract. LanguagesPOLISHLevelMother Tongue
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cellular information and their regulatory molecules, we are addressing fundamental biological questions. For example, our recent work: Yan et al, 2026, Nature Cell Biology; Li et al, 2026, Advanced Sciences
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or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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to colleagues and proactive. You possess excellent written and oral English communication skills. You are willing to participate actively in the intellectual life of the Radboud Center for Natural Philosophy