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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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engineering Construction informatics, and in part related to Building Information Modelling (BIM), ontologies, process modeling, databases, open data standards such as Industry Foundation Classes (IFC), and
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, for static and dynamic measurements and reliability measurements). Key Responsibilities Research & Learning: Develop expertise in GaN device physics and wide-bandgap semiconductor technology. Simulation
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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Aarhus BSS Graduate School, Aarhus University invites applicants for a PhD Scholarship in connection with King Frederik Center for Public Leadership at the PhD Programme in Political Science. The
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• Certified copy of diploma or expected date of graduation (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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to perform an experimental PhD in Physics in the area of Quantum optoelectronics and 2D materials. The position is available from 1 October 2025 or as soon as possible thereafter. The successful candidate will
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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with