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Department, Systems and Data Analysis, Fraunhofer-Chalmers Centre E-mail: [email protected] Phone: +46 730 794303 Where to apply Website https://academicpositions.com/ad/chalmers-university
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therapies emerge and precision medicine become increasingly achievable, understanding this heterogeneity is critical. This PhD will use large-scale routinely-collected healthcare data and cutting-edge
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The Influence and Technology Lab Why do we believe some things but not others? Why do we share information about ourselves and the groups we belong to, or groups we dislike? What are the effects
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the settings they were trained on — rather than relying on predefined dictionaries or fixed lists of known threats. Where to apply Website https://networks.imdea.org/job/ph-d-student-position-in-data-driven
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the MIDA – Methods for Image Data Analysis – research group at the Department of Information Technology, and will be conducted alongside other researchers at the Centre for Image Analysis who develop
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proof of enrollment in a doctoral program in the fundamental field of Social Sciences. Specific Requirements Job-specific activities: - Research, data collection, data analysis, and drafting of reports
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
2 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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safety assessment of innovative reactor concepts. Your simulations will be validated using experimental data generated by a closely connected PhD project. Job description TU Delft participates in a
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neutron stars. However, reliable predictions in regions where experimental data are scarce remain limited by uncertainties in model parameters, functional form, and the extrapolation of calibrated
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale