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- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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spectrometry, cross-linking mass spectrometry, top-down proteomics and computational modeling. Your work will advance mass spectrometry technology, providing new possibilities to study the structure and function
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mitigate turbulence under diverse urban layouts and meteorological conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement
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modeling. Your work will advance mass spectrometry technology, providing new possibilities to study the structure and function of protein assemblies and other large biomolecules. Main responsibilities
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analysis of the global EO market, leveraging theoretical models and real-world data to identify structural dynamics, competitive positioning and long-term trends; integrate advanced EO data and disruptive
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Concrete is one of the most widely used materials in construction, but its production significantly contributes to CO₂ emissions. To address this issue, our project focuses on creating supplementary
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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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Do you have a PhD on the topic of Bayes factor hypothesis testing? The Psychological Methods Unit at the University of Amsterdam offers a five-year postdoctoral position on the ERC Advanced project
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of researchers, project managers, and professors shares the ambition to create smart, sustainable, and equitable mobility systems. In our 12 collaborative labs we apply advanced technologies such as sensing, data
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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
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. Your work may involve formulating new models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance.