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landscapes. Research Project & Objectives This PhD project aims to develop a physics-informed and data-driven framework for structural condition assessment to support resilience-oriented decision making in
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fellowship (5+3) for a period of up to three years or a SU PhD scholarship (4+4) for a period of up to four years in AI-Enhanced Research Data Management: Automation, Ethics, and Cultural Heritage provided
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22 Aug 2025 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 19 Jan 2038 - 03:14
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21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de Physique des Solides Research Field Chemistry » Physical chemistry Physics » Chemical physics Physics » Biophysics
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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera System (Long Live the Dairy Cow) Applicants are invited for a PhD fellowship/scholarship at Graduate
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms