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, you will develop statistical and computational methods to uncover novel gene-disease associations, investigate disease mechanisms, and link genomic findings to clinical outcomes. You will be part of a
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At Radboudumc, you will work in a highly collaborative, interdisciplinary, and international environment. We are a leading European center for genomic medicine and rare disease research, with strong connections to clinicians, patients, and European initiatives such as ERDERA. What sets us apart...
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expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis. The supervisory team will consist of dr. Maarten
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, epidemiologists, clinicians and lab researchers, with expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis
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» Computational physics Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 20 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Not
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candidate, you are expected to conduct thorough literature reviews, conduct statistical or simulation-based research, and understand analytical models depending on your background, you will take courses
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4 Sep 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Country Netherlands
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4 Sep 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Country Netherlands
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and real-world data and its interpretation is accessible for the project team. We are looking for a student with a strong background in at least one of the following subjects: statistics, machine
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, bioinformatics, and statistics, both within and outside UMC Utrecht (including the Dutch Center for RNA Therapeutics and Charles River Laboratories). Informal yet close collaboration with fellow PhD candidates