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nanoscience. It merges design and chemical synthesis of complex bio-molecules with biophysical chemistry and medicinal chemistry. The group consists of about 10 members. The group is a part of Department of
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of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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we are The Macroeconomic Methodology, Theory and Economic Policy Research Group (MAMTEP) at Aalborg University Business School (AAUBS) focuses on the complexities of the processes of adjustment in a
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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therefore expect you to have: Strong analytical and computational skills A passion for complex research and development projects Ability to work both independently and collaboratively in a dynamic research
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organometallic chemistry and the synthesis of organometallic complexes. The candidate must be with the technologies for plastic recycling. The candidate must have good communication skills and experience in
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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at risk, and translate the complex multi-source data into real-time, evidence-based decisions and clinical applications. The project's overall goal is to establish a unified, end-to-end epidemic
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life in its complexity. We ask fundamental questions about life and contribute knowledge about how human beings create meaning, interact, flourish and participate in society. The Department has