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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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, the following is required: PhD in high-speed aerodynamics, turbulence, transition and combustion modelling, or another relevant aerospace engineering discipline. Additional requirements In addition to your CV and
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administration or another discipline that is relevant for TransEuroWorkS; For a junior researcher: a master’s degree in comparative political economy, political science, economics, sociology, public administration
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Diversity Diversity and inclusion are core values of Leiden University
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by the CCI are a major contribution to the evidence base used to understand climate change, which drives international action. Climate modellers use the ECVs to study drivers, interactions and feedback