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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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customer-service support (Will consider six years related education/experience) Required License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel
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models, which are essential for understanding climate change impacts. The work involves reviewing existing modeling and model–data fusion techniques, and developing faster, machine-learning–based tools
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, including: reinforcement learning, AI planning, state abstraction, action abstraction, world modeling, decision-making under partial observability, and methods for analyzing and interpreting learned
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biology, multiomics and single cell methodology to drive projects focusing on modelling leukemia and immune cell dynamics with the goal to develop new personalised medicine approaches. As our new
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Sharing – Building a federated data space to enable responsible data integration and cross-project learning. AI & Modelling – Using shared data to power advanced models that help describe and predict
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localization. Completing data labeling tasks for machine learning models, including file and data format conversions. Annotating data, including but not limited to text transcription, classification, and object
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 6 days ago
include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search