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pipeline. Research programs may leverage structure-based models, protein language models, generative AI, or novel hybrid approaches. Areas of interest include, but are not limited to, developing predictive
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validating uncertainty-aware AI models for real-time crash risk prediction with guaranteed confidence bounds, interpretability, and fairness-by-design, using a blend of centralized and federated learning
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research uses both theory-driven models of cognition and neural activities and data-driven predictive modeling for precision medicine. In addition to our core research questions and mission, the unit will
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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analysis, cell-state and cell–cell communication analysis, and predictive modeling. Lead secondary projects involving single-cell RNA sequencing and spatial transcriptomics. Perform raw-data processing
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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we collaborate with universities and institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL
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materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural
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, interactomics, structural biology, and imaging datasets into predictive computational frameworks. Application of atomistic simulations, coarse-grained modeling, RNA folding prediction, RNA-protein and RNA-small
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dementia or Alzheimer's disease research. (Preferred) Experience developing disease identification algorithms or prediction models. (Preferred) Knowledge of longitudinal data analysis, survival analysis