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radionuclides. The successful candidate will combine laboratory investigations, radioanalytical techniques and numerical modelling to improve our understanding of radionuclide behaviour under relevant
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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user-informed machine learning models that incorporate geological/geotechnical priors to interpolate 3D rock mass properties between sparse data points. Architect and implement a new stope optimization
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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, documents, and other evidential materials. Hyperspectral imaging combines spectroscopy and imaging to provide detailed spatial and chemical information with high resolution. In this project, you will
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resistance emerge through different spatial, temporal, and stratigraphic scales, and how these processes can be understood in relation to the geologies, materialities, and power relations through which
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involves modelling wind flow across various spatial and temporal scales to improve accuracy. It aims to combine small-scale atmospheric phenomena, such as turbulence, with larger-scale weather patterns and
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environment. Supported by the grant from the Dobberke Foundation, we will uncover the neural mechanisms underlying this fundamental ability, using the highly social fish Neolamprologus pulcher as a model system
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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
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neurodevelopmental huntingtin (HTT) modulation across multiple spatial and temporal scales using dedicated mouse models of controlled HTT expression, combined with advanced non‑invasive functional MRI and