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patterns and forecasting future energy scenarios for a specific region for hydrogen. These scenarios feed into the energy optimization models you develop and solve. The goal is to identify factors
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feed into the energy optimization models you develop and solve. The goal is to identify factors influencing the energy transition, assess potential risks, and create a comprehensive roadmap for an
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design of these molecules. The goal of this project is to develop ML models for: 1) predicting properties of oligopeptide materials based on peptide sequence and end-group functionalization; 2) guiding
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with the collective bargaining agreement for Dutch universities: It is an employment contract for the duration of 12 months, ending by operation of law after this period. A salary, depending on
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research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own line of research. Organisation The Faculty of Spatial Sciences (FSS) focuses
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multidisciplinary project aimed at characterizing the role of RNA structural ensemble dynamics in driving cell fate decision. Particularly, you will Develop novel methods for the mapping of RNA ensemble dynamics in
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growth processes for supplying wide bandgap materials in the fast growing market of semiconductor power devices. Presently thick TaC coating on graphite is being developed to catch up the demand. However