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"Postdoctoral researcher in natural language processing and real-world data"

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Postdoctoral researcher in natural language processing and real-world data

At the Julius Center for Health Sciences and Primary care, one of our key research areas is the relationship between acute infections and non-communicable diseases (e.g. cardiovascular, auto-immune), using large-scale real-world data. This PostDoc position is part of a ZonMw-funded project on long-term risks in patients with post-COVID compared to individuals with similar complaints after other viral infections.

As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You will be part of a collaborative, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful diagnoses, symptoms, signs, and disease durations linked to infections and post-infection syndromes including post-COVID. You will work with extensive real-world data from general practitioners to extract clinically relevant information and contribute to innovative solutions in infectious disease research.

Beyond model development, you will have the freedom to work on improving their generalizability and robustness by exploring different modelling techniques, evaluating the impact of design choices, and addressing common pitfalls in model interpretation with implications for real-world clinical and epidemiological research.

Requirements: You have completed a university master's degree in computer science, computational linguistics, AI, engineering, bioinformatics or a comparable technical study and have obtained a Ph.D. in a relevant area (or have completed your dissertation, pending defense). Experience in healthcare data research is an advantage. Strong interest in scientific research. Skilled in Python (experience with NLP/ML libraries, e.g., PyTorch, is a plus). Excellent written and spoken communication skills in English, and preferably Dutch. Excellent communication and organizational skills. You are analytical, creative, curious and results-oriented. You enjoy working both independently and collaboratively in an interdisciplinary team.

Conditions of employment: The maximum salary for this position (32 - 36 hours) is € 5.669,00 gross per month based on full-time employment. In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

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