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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation budget. Changes in their properties, either due to global warming or aerosol pollution, can
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of emissions of greenhouse gases. The reason for most of this uncertainty is that clouds are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation
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atmospheres, their origin and how they are expected to evolve in a changing climate. Spectral 2D and 3D numerical solvers based on spherical harmonics will be used for the project to perform simulations aimed
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research will use Norway spruce and Scots pine to investigate how these trees adapt their RNA synthesis (transcription) during their life cycle. We will utilize numerous modern sequencing techniques to study
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the field and in the lab) and developing scientific publications. We expect them to be pro-active and take own initiatives. Good numerical and statistical skills and some previous experience in molecular
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Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous collaborative research
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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the DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of mass transport within electrode microstructures, reconstructed via X