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an education equivalent to a relevant Danish master’s degree. Option B: An up to five year full-time study programme within the framework of the integrated MSc and PhD programme (the 3+5 scheme
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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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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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be integrated in the Kloverpris lab as part of NIVI-R. Project description The PhD project will focus on tracking the immune and epithelial changes in the respiratory tract from a human clinical trial
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privacy guarantees. This PhD project will develop scalable, privacy-preserving coordination models that jointly optimize DER integration, electrified loads, and data-center flexibility — ensuring fairness
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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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lab, you will lead a research project focused on dissecting how the various cellular tasks of MYC are orchestrated in individual cells. You will integrate loss- and gain-of-function tools (e.g., CRISPR