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for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
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of both physics-based and measurement-based models, as well as validation against experimental data. The models will be used to analyze how different design choices affect electromagnetic compatibility (EMC
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to implement dynamic force control to achieve faster and more tests. The main part of the works of this post-doc position will thus consist in developing a sensorized (instrumented) tip that will
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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Université Paris-Saclay GS Life Sciences and Health | Fontenay aux Roses, le de France | France | 15 days ago
. We have also developed highly accurate structural models of control protein complexes in association with Rad51 filaments. We will use a multidisciplinary approach based on genetics, molecular biology
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objectives are to process and characterize plant-based biomolecules from industrial food by-products and the development enzymatic extractive and precipitation models to maximize recovery efficiency and
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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around three research axes: Axis 1: An investigation of legal and theological discourses on dispensation in the three religious traditions, and their possible interconnections, based on a corpus of
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., 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