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(HGG) at the Department of Geoscience, we’re looking for a motivated postdoc for a 1-year postdoc position (with a possible extension for 1 more year) to advance groundwater modelling approaches as part
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will explore reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy
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carrier dynamics in luminescent materials. The model will incorporate a user-defined lattice structure with discrete electron- and hole-trapping sites based on defect distributions. Each site will be
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a specific focus of electrolysis, carbon-capture, and methanol synthesis. The main research topic is modeling and advanced plantwide control for green fuels and CCUS systems. Due
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to work at the forefront of deep learning and remote sensing research within a highly collaborative, interdisciplinary environment. You will play a central role in advancing scalable approaches
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chromatin structure, and improve nucleosome maps. The positions are part of the project: “Development and application of generative AI models for ctDNA detection and characterization,” supported by the Novo
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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to innovate at the leading edge of science, working on groundbreaking projects focused on both the structural and electronic characterization of quantum materials. At DTU energy, our research focuses
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proteomics. The goal is to generate structural and functional models of protein complexes as a guide to understand disease-causing mutations. The project is supported by the Independent Research Fund Denmark