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such mechanisms contribute to improved damage tolerance at the structural level. You have experience with integrating advanced damage models into numerical simulation frameworks, and you are able to develop
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, and energy demand. In particular, you will: Develop an integrated, system-level digital-twin framework connecting electrolyzer models with relevant Power-to-X components and energy-systema. Develop
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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this context, energy sector organizations are turning to AI to forecast, balance, and manage critical infrastructure, while also responding to new regulatory frameworks such as the EU AI Act. ORBIT examines how
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. Within the framework of the position, there will typically be opportunities to participate in relevant conferences and workshops and to build an international network within solid and computational
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thrive in collaborative settings, be able to coordinate and align your work with partners in other countries and contribute actively to shared analytical frameworks and publications. Strong written and
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to research and development within the field of innovation, including activities related to the Innovation Academy. The main tasks include: Developing an indicator framework for measuring innovation and its
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robots, autonomous vehicles, and drones, develop rich frameworks to interact with the world in real time? This is the main underlying theme to be explored within this postdoctoral position. The appointed
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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of your work within the overall project framework. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application must include the following