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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based on microbial biomineralization, design bio-based hydrogel
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activities at both Campus Aalborg and Campus Copenhagen. Read more about the Department here. The position will be affiliated with either the research group It and Learning Design (https://www.ikk.aau.dk
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. Learn more about the department on our website and in our research portal . Your work tasks This PhD stipend will be affiliated with a research and innovation project focusing on health system innovation
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transferable skills that prepare you for careers in academia, industry and the public sector. Towards the end of your PhD, you will be offered dedicated career development support to help you plan your next
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, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread
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2 Sep 2026 Job Information Organisation/Company Copenhagen Business School Department The Department of Strategy and Innovation Research Field Economics Researcher Profile First Stage Researcher (R1
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
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-latency framework for Test-Time Adaptation (TTA). This involves designing autonomous architectures capable of monitoring and maintaining the reliability of unimodal and multimodal foundation models in real
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, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved