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advancements in Foundational Models and Agentic AI. Please upload the following as attachments to your application via Workday: CV/Resume Unofficial Ph.D. Transcripts If already awarded, a copy of your Ph.D
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/ML model development to design and discover redox-active materials with tunable properties (structure, charge state, etc.) Discovery of novel materials for energy storage and conversion and their
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leading projects creating and deploying advanced models since 2017. To strengthen our research on the impacts of conflict, PRIO seeks a motivated researcher with a background in social sciences, or a strong
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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supporting better patient outcomes. The successful candidate will lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 days ago
on these foundations, DynaNova will leverage a large MD dataset (DynaRepo) and advanced GNN/Transformer models to uncover long-range communication pathways within macromolecular complexes. The postdoctoral fellow will
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understanding of reaction kinetics, thermodynamics, and structure-reactivity relationships in catalytic systems. •Demonstrated experience with agentic AI, including automated data curation, ML model integration
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related to the position please click on the relevant links above. Position Specific Responsibilities/activities: Conduct research on the modeling, design, and optimization of advanced solar-energy
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of scientific competence, the successful candidate has experience with physical modelling of wave-structure interaction in a wave flume and/or basin. Experience with development of generation and analysis methods
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical