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Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions. Scientific Impact: Lead the authoring
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Action Plan for Digitalising the Energy Sector (October 2022), the European Action Plan for Grids, the Net-Zero Industry Act, and recently the Clean Industrial Act. When it comes to the teaching related
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that enable material traceability and circularity in plastics. The role focuses on developing and curating Deep-UV spectral databases, designing AI-based classification models, and further advancing
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of expertise (see description of position for details). This is what you will be doing We expect you to design and conduct research under the guidance of the project leader, resulting in at least four peer
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physical perspective, under real world constraints. Our group members work closely together with extensive support from AMOLF resources in all aspects of design, realization, and interpretation
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to their specific field/geography of expertise (see description of position for details) This is what you will be doing We expect you to design and conduct research under the guidance of the project leader, resulting
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always evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your personal development. You can count on an enjoyable job within the socially
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space to shape your work independently and develop your ideas. A close-knit community of colleagues to collaborate and grow with. A solid pension plan via ABP, company fitness schemes, and access
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on an annual basis. For part-timers, this is calculated pro rata. 8% holiday allowance and 8.3% end-of-year bonus contribution to commuting expenses optional model for designing a personalized benefits
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contributing to project deliverables. About the TRUMAN Project: The goal of TRUMAN is to design and develop generic technologies and methodologies for improving AI systems’ resilience against security, privacy