Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
-
mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
-
techniques with physics-based models to enable accurate damage detection, condition assessment, and lifetime prediction. Strong emphasis is placed on data-driven engineering, including signal processing
-
Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
-
programmability, network exposure APIs, service orchestration, O‑RAN, network slicing, and data-driven optimization. You have proven experience with AI/ML pipelines, including data processing, model training
-
., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will
-
explainability methods into LLM-based pipelines Develop and evaluate prompt engineering strategies (zero-shot, few-shot) Support experimental setup, data generation, and evaluation of model behavior Write, test
-
, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges. KAUST provides full financial support to its
-
optimization of advanced reconstruction and control algorithms, combining numerical modeling, inverse problem techniques, and AI-driven approaches, together with experimental validation to improve imaging
-
is on energy modeling, data-driven planning approaches, and the development of innovative data infrastructures for national and municipal energy planning. Candidates should have experience in energy