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of ethylamine from ethanol and ammonia. Generating experimental data for reaction network identification and kinetic model development. Analyzing experimental and modelling results and translating them
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that are implemented for an entire shipping corridor, or various bunker infrastructure strategies in the network. In addition, the impact of the feasible interventions can be evaluated, ranging from the individual ship
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collaboration with ISGlobal as well as our international network of antimicrobial-resistance specialists across Europe, Asia and the United States. Main tasks and responsibilities: Establish and characterise in
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. The ideal candidate should have a strong background in artificial intelligence and machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position
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development studies. Development of the global case database (WP 2): Together with the PI and the PhD researchers, you will lead the development and quality assurance of the AI-assisted coding procedure
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corridor, or various bunker infrastructure strategies in the network. In addition, the impact of the feasible interventions can be evaluated, ranging from the individual ship level and its emissions
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, intellectual curiosity, and rigorous, yet experimentally relevant theory. You will work closely with students and collaborators in Delft and across an international network while developing the independence
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are research in optimization and simulation of manufacturing systems. Teaching or other administrative tasks may be included up to 20 percent. The position requires: completed a PhD in mechanical engineering
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on the construction of multi-scale molecular health and disease network and develop AI-based analytical infrastructures to inform precision medicine-based decision support. The position entails collaborative work
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universities, with access to unique deposition and test facilities and strong international collaboration networks. This position provides the opportunity to contribute directly to the energy transition and to