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29 Jul 2026 Job Information Organisation/Company Wageningen University & Research Research Field Medical sciences » Medicine Neurosciences » Neuropsychology Researcher Profile First Stage Researcher
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progression to MN. Epidemiological and genetic studies already suggest obesity accelerates CH, but the underlying mechanisms remain unclear. This project integrates large-scale population data, clinical trials
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missing data in large-scale healthcare datasets. The student will investigate how data completeness varies by patient and healthcare setting, evaluate its impact on cancer risk prediction, and develop new
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(3) or more years of experience working with Medicaid claims, birth certificate data, hospital records, or other large healthcare datasets. Experience designing and implementing program evaluations
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. The University will also provide you with a laptop and a mobile telephone. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
Molecular mechanisms of cancer metastasis Computational large-scale data integration Your Profile Master’s degree in biology, biochemistry, bioinformatics, molecular medicine, biotechnology, or systems
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sciencesYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteVrije Universiteit
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. More information about the research team and ongoing projects can be found at https://weiszlab.fas.harvard.edu/ . Interested applicants should submit a resume or CV, cover letter, and names and contact