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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
misfolding-related diseases such as Alzheimer's - but predicting how proteins fold in biological environments remains a key unmet challenge. This project brings together insights from efficient graph-driven
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processes can be achieved in pulsed plasma driven by tailored voltage and current pulses. In this PhD project, you will develop a pulsed plasma-chemical reactor for nitrogen fixation operating in a pressure
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motivated research associate (m/f/d) for our research project focused on developing secure communication systems for AI-driven applications. The objective is to investigate, design, and experimentally
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, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at the interface
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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approaches, including high-throughput bioreactor cultivations, multi-meta-omics (metagenomics and metaproteomics), and mathematical modelling. You will work in a highly interdisciplinary environment at
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algorithm that interface with interpolated geotechnical fields to generate adaptive, variable-length stope geometries. Calibrate and validate the developed models using real-world mine data Develop, document
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technologies, AI and big data. Crop and soil health - resistance and integrated pest management (including AI-driven prediction) and improving the root-soil interface (carbon, water and nutrient availability
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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct