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solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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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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of Research ExperienceMore than 10 Additional Information Benefits Work in a dynamic group. Eligibility criteria Good command of English. Knowledge in project field. Selection process Please see https
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involved in reproduction. The objectives are to define an experimental model to identify the constraints of sexual selection and to control the parameters for optimizing insect rearing. The thesis's purpose
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, materials science, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc1/ DC2: Synthesis and Transport Studies of Magnesium-Based Thermoelectric Materials Host
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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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Université Paris-Saclay GS Life Sciences and Health | Fontenay aux Roses, le de France | France | 21 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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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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., 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