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gust conditions. - Developing physics-informed reduced-order models (ROMs) and data-driven surrogate models for real-time estimation and control. - Contributing to the development of digital twin
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for its employees as well as its students. YOUR TASKS • At least 70% of your assignment will be spent on academic research at Laboratory Soete (https://www.ugent.be/ea/emsme/en/research/soete
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of NCL. It explores ways to map these situated, entangled, and embodied knowledge systems and supports the development of tools for alternative knowledge transfer. The methodology is inspired by
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of NCL. It explores ways to map these situated, entangled, and embodied knowledge systems and supports the development of tools for alternative knowledge transfer. The methodology is inspired by
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objectives with a high degree of independence. You are motivated to work actively on your further professional development. In this, you can make use of a wide range of training courses and professionalisation
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patterns. Contributing to the development of hybrid models that combine expert knowledge with data-driven insights. Actively participating in consortium meetings, stakeholder interactions, and co-creation
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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant
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software development. General responsibilities: Help supervising related MSc and PhD projects Contribute to project related teaching activities Collaborate with the Earthmapps research team and participate
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to writing research projects within the research line that focuses on developing and validating (digital) interventions to promote talent and trait development in the professional context. WHAT WE ARE LOOKING
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focus on the interaction between climate and vegetation, a fundamental question linked to tick ecology and the evolution of landscapes, but also on the question of reconciling management objectives with