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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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about DTU Electro at https://electro.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data on the evolution of internal metal
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interfaces This project explores advanced inverse design methods for next-generation EDC photonic systems. By combining topology optimization with physics-based modeling, it aims to discover new light–matter
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to the development of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development
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” at https://www.bioengineering.dtu.dk/about. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option
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stakeholders, including purchasing decision makers Support mapping of the pathway to market, including customer segmentation and potential market size estimation Contribute to analysis of reimbursement pathways
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for gas-phase catalysis. Development and application of ultrasensitive methods to probe gas–surface interactions by means of electron spectroscopy. Operando studies of catalysts using low dose-rate and dose
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in computer science or applied mathematics and a strong interest in electrochemistry, molecular modeling, and sustainable energy technologies. Experience with computational methods, data analysis