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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness
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new models that integrate EO data and advanced technologies such as AI into macroeconomic and socio-economic frameworks. Main research topics: conduct a global macroeconomic analysis of the global Earth
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platform, contribute to accelerating the realisation of PEDs? How can standards (e.g. in terms of data models and APIs) support this process, e.g. by streamlining data retrieval, integration and usage? How
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options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal
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conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement learning, to accelerate CFD optimization and enable adaptive control
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high-fidelity battery system model ready for future digital twin development
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disruptions in support systems affect access to and quality of care. The findings will inform new data, models, and policy recommendations, contributing to both Dutch and international debates on health system
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data, models, and policy recommendations, contributing to both Dutch and international debates on health system resilience, climate adaptation, and health equity. Your role will be to: Map current
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applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term