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of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking the microstructure from the AM process to
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Business Economics at Aarhus University. ACE is a research center focusing on the development of econometric theory and methodology; specifically, methods that are robust to nonconformity with classical
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Horizon Europe. The project aims to train a new generation of researchers to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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25/63 on Integration of Variable Energy. A detailed project plan will be developed with the supervisors within the first two months You must have a strong foundation in control theory, including
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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scientific publications at major international peer-reviewed venues of core machine learning research. Strong scientific programming skills demonstrated by contributions to public code repositories or released
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bachelor and master projects. Furthermore, you are expected to contribute actively to young-researcher education through supervision of Ph.D. students and postdoctoral researchers. Prior experience in
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supervisors and industry partners, you will bridge theory and practice to create research with real-world impact. Your primary tasks will be to: Conduct research on data-driven and modular approaches
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Management Accounting and AI Auditing Financial Accounting Accounting Theory Accounting Regulation Financial Statement Analysis & Firm Valuation Cost & Management Accounting Management Control & Performance