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reports, conference presentations, or related scholarly activities. Preferred Qualifications - Experience analyzing, modeling, and interpreting complex experimental datasets, as demonstrated through prior
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
approaches, provide a natural bridge between experiment and mechanistic understanding. Data-driven methods, for instance for inverse parameter identification or uncertainty quantification in fracture mechanics
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Job no:523342 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences A highly technical postdoctoral engineering role focused on rock mechanics, modelling, and AI
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
. Data-driven methods, for instance for inverse parameter identification or uncertainty quantification in fracture mechanics datasets, are not an end in themselves, but a compelling extension where they
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rigorously investigate systemic immunity, the tumor microenvironment (TME), and the mechanistic drivers of resistance to radiation and immunotherapy utilizing advanced pre-clinical models of head/neck and
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project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV-based
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strategy. Your qualities We seek candidates who are motivated about eMRV research, can lead field campaigns, and are self-driven and can work independently and with a team. Applicants should hold a PhD
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods