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30th April 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in AI and FEM Development for Autonomous Structural Design Apply
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At the Technical Faculty of IT and Design, Department of Electronic Systems, one or more PhD stipends/Integrated PhD stipends in representation, compression, learning, and inference for classical
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should include suggestions for relevant research questions, theory and methods. The qualifications of applicants with non-Danish master’s degrees will be assessed to decide whether they correspond
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of fifteen (15) highly interlinked PhD projects, of which this particular call is for project DC 3: From formal behavioral specifications of chemical systems to their chemical implementation. Systems theory
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theory and empirical methods to answer health policy research questions and improve research methods. Our main research themes include health-related behavior, equity in health and access to healthcare
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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on the electronic properties of the investigated heterojunctions. While we will mainly use density functional theory (DFT) to achieve these goals, we will also exploit machine-learning techniques to train more
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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the use of excited-state methods (TD-DFT, ADC(2), etc.) to explore the relationships between the molecular structures, photoinduced electron transfer (PeT), and chirality in strong connexion with