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Field
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, substation, corridor scenarios) Integrate physics-informed machine learning models with signal processing feature extraction Develop prototype software tools for automated waveform analytics and real-time
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sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research. PhD
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relate to processing-relevant traits such as fry quality, yield, and waste? The project will take an integrated approach combining advanced imaging, quantitative phenotyping, and genetics. A high
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obtain high-resolution deep-tissue images from clinically relevant samples. You will realize this by applying superresolution and 3D Fourier OCT signal processing techniques. Third, the OCT system must be
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About Us You will join an international and highly
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world. You will find more information about working at NTNU and the application process here. About the position Studies of phase formation, evolution of microstructure and casting defects in high
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performing delicate surgical procedures. Previous experience with animal surgery is a major advantage. Experience with advanced live-cell light microscopy will also be considered a major advantage. Data
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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect
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/processes; formalise requirements; prototype traceability. Expected outputs include requirement templates and an initial workshop paper. Year 2: Integrate PlaTFoRm tools; evaluate coverage and fault
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Prize to make science directly beneficial to young people. I am in discussions about this with the Kindertelefoon (Children's Helpline) and with Mind Us. I want to try to build a much more direct bridge