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independent and collaborative research leading to publications in high-impact international journals Develop and apply advanced geospatial, statistical, and AI-based methodologies Contribute to international
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to a multidisciplinary program exploring drivers and seasonality of WNV in a multi-species system. They will write code, use models and other quantitative or statistical analyses within life science
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qualitative work. About You Candidates should hold a PhD (or be close to completion) in a relevant discipline, such as epidemiology, social epidemiology, data science, or medical statistics. We are looking
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intelligent robotic systems. The Postdoctoral Associate is expected to conduct high-quality research, develop robust software systems and prototypes, and contribute to publications in top-tier venues
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2 Apr 2026 Job Information Organisation/Company University of Graz Department Department of Education Research and Teacher Education Research Field Educational sciences Researcher Profile Recognised
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problems in biomedical field, interact with world class scientists, and gain experiences and develop skillsets for their next career stage. The computational biologist is expected to develop new
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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implants. Contribute to research and development initiatives for implants and instruments as part of grant-funded and industry partners. Oversee data analysis pipelines and perform statistical analyses
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Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis
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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