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, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory
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, preferably with a focus on batteries, control, or optimization. Preferred qualifications include: Expertise in multi-domain and multi-objective optimization and AI-based control Strong analytical and modeling
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Job Description We are seeking an outstanding postdoctoral candidate in the field of theoretical catalysis. The postdoc will be a member of the Catalysis Theory Center (CatTheory) at the Technical
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complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to
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-assisted control of large wind turbines. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in practice as well as in theory
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Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross-sectional
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the corporate expansion of AI usage through enterprise software. How do these interests ensure their market share, control the regulatory environment, and show accountability for their environmental impact? How
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. During the project, you will work closely together with colleagues in theory who propose optimized designs for your devices, and both receive and provide help to fellow colleagues performing
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or related fields Have experience in conceptual research and theory building. Have command of quantitative or qualitative research methods and related software. Preferably first teaching experience