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, failure modelling of fibre-reinforced composites using FEM, use of Artificial Intelligence for surrogate models An interest or experience with structural optimisation Experience in scientific coding (e.g
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The Department of Ecoscience, Aarhus University, invites applications for a full-time researcher position (tenure track), focusing on marine ecosystem modelling. Expected start date and duration of
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. Subsequently, a secondary atmosphere would have been degassed or brought in by a late veneer of chondritic/cometary material. Although this model is regularly evoked using giant planets for comparison, there is
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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on the structural behaviour and performance of Steel-Timber Composite (STC) beams, an innovative and sustainable hybrid structural system combining steel members with cross-laminated timber (CLT) panels
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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
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absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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or professional experience in the field of soil indicators development, soil health assessments, soil monitoring and modelling. The experience should be proven and cover at least 1 year of activity. • Extensive