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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
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of “Developing locally integrated models for sustainable energy investments in rural areas”. The sustainable transition of Europe’s energy infrastructure involves large investments in new infrastructure, such as
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct
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will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the
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-assisted writing, coding, and modeling altering notions of originality, authorship, and evaluation? Which new human-machine configurations emerge or become contested in STEM education? Transforming STEM
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practices. The PhD projects will combine lightweight agricultural robots, manipulators for managing crop competition, and digital twins for modeling the working environment. If selected, your main focus will
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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advance next-generation biocatalytic processes both microbial and cell-free. PROSYS has a strong focus on combining experimental research and modelling tools to design sustainable and scalable bioprocesses