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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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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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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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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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the energy landscapes of neural quantum states or the simplicity biases of neural networks. You will be given scientific freedom to shape your own research agenda and will be supported by structured mentoring