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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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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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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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of Twente, is looking for an experienced and motivated postdoc in the field of computational mechanics, skilled in programming and image segmentation. The project is related to multiscale modeling
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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models (e.g. mixed-effects regressions, Bayesian analyses). You preferably have experience supervising and/or teaching students. You preferably have knowledge of swarm robotics and/or deep learning
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, computer science, mathematics and engineering sciences in general. DTPA’s research focuses on developing quantitative and analytical theories, alongside advanced methodologies rooted in mathematical modeling
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-order differentials. Differentiable wind models for accurate re-entry simulations. High-order State Transition Tensors usages and efficient computation. Manoeuvre detection and estimation of non
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seminars, workshops, and conferences of the programme. Selection Criteria For a post-doctoral researcher: a PhD in comparative political economy, political science, economics, sociology, public