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materials/ Latent thermal energy storage is an advantage. Hands-on experience with experimental setups and measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS
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. We are a team of currently about 20 researchers, engineers and PhD students, specialized in robot solutions involving modelling, simulation, and control of advanced robot technologies (systems and
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integrated with bioinformatics including large language models. The PhD scholarship includes an obligation for a 9 month research stay at the Chinese Academy of Sciences in Beijing, China integrated with
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well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
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, dynamic simulation, additive/classical fabrication; sensorization, actuation, and integration on gantry/field robots. For PhD#3 (DT): Design software architecture; integrate multi-modal data and models (e.g
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typologies for hot and humid climate is scarce. This issue arises from the complexity of modeling these factors, which requires a co-simulation approach and validation of these. PhD position will focus
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will
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Faculty of IT and Design invites applications for a PhD stipend on the topic of Cooling Flexibility Modeling, Estimation, Aggregation, and Optimization, within the context of sustainable water-based cooling
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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and
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materials Development of simulation models for the electromagnetic wave interaction analysis Machine learning design of antennas and metasurfaces for interaction with lossy materials Research into practical