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integrating machine-learning techniques with experimental datasets on bioplastic degradability. You will work to establish links between polymer features and degradability through mapping of existing data
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top interdisciplinary scientists from all over the world and make a personal impact in solving some of the most critical challenges in the built environment. The position is also integrated
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The PhD student will be included as an integrated part of the research activities in the LHMI group, with a special focus on the functional role of gut microbiota-derived extracellular vesicles in
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employing an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant
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to: Develop innovative decision-making strategies that seamlessly integrate operational research techniques and machine learning algorithms. Engineer solution algorithms and systems that enhance the robustness
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, the focus of the PhD project is to develop a methodology to digitalize the recycling line of spent LIBs from EVs for a large-scale application, while integrating existing research. Specifically, the project
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by Printing and etworked Robots” (AM2PM). The goal of AM2PM is to develop and experimentally validate a complex digital infrastructure that integrates sustainable material design, computational
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that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in
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transportation decision-making by exploring a wide range of possible scenarios, including unexpected and negative outcomes. By integrating machine learning, metamodeling, and causal representation learning, we aim
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The position is a three-year, full-time (37 hours per week) engagement. The PhD position is integrated in the award-winning research environment Techno-anthropology Lab(TANTlab) located on Aalborg