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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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. Background: Many enzymes feature substrate binding domains that are not part of their active site and located in a different domain. Cellulosic and hemicellulosic enzymes often feature carbohydrate binding
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Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with
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candidate will be an integral part of the prestigious ERC Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by
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are to: Develop a probabilistic machine learning tool that can determine the optimal grinding parameters for different scenarios based on required material removal depth and rail grade. Generate data through
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Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome
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? Are you interested in how coordination, dynamic pricing and redistribution may affect food waste? Do you have a passion for applying optimization and simulation techniques to reduce food waste and make
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(Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics