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, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
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competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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curATime (Cluster for Atherothrombosis and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR
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26 Jan 2026 Job Information Organisation/Company CNRS Department NAnomédecine, Biologie extracellulaire, Intégratome et Innovations Research Field Pharmacological sciences Engineering Technology
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encourages best practices in both course design and technology, to support student success across all formats by providing support to improve course design and assist with ADA compliance, professional
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engineering pipelines using Databricks Feature Store, Delta Lake, or vectorization techniques. Assist in deploying and monitoring machine learning models using MLflow or Databricks Model Serving. Implement