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A postdoctoral position is available in the research group of Dr. Ivan Ovcharenko at the National Institutes of Health (NIH). The group develops AI/ML and statistical approaches to study epigenetic
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-supported research infrastructure. Our group develops computational and statistical methods for large-scale genomic, clinical, and phenotypic data and collaborates closely with partners in computer science
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evaluation of predictive models and statistical approaches to understand treatment outcomes. Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity
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, radiologists, clinicians, and engineers. Human Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant
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and industrial partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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and spatial omics analyses performing quality control, preprocessing, integration, annotation, visualization, and downstream statistical analyses contributing to data management, workflow development
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Postdoc in Genetic Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 26.02.2026 Join a place where
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the