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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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related to the EU and National Directives. You will be a part of the marine ecology group that covers research and advisory tasks across the marine environment mainly related to Danish and Arctic waters
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or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
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an advantage: marine sedimentology and paleoceanography, micropaleontology and marine ecology, marine biomarkers and biogeochemistry, geochemical or sedimentological analyses, or quantitative analysis
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that advances the science of emerging threats to ocean ecosystems by integrating climate change research, offshore scientific expeditions, ecological observations, and high-resolution hydrodynamic and agent-based
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to develop and validate models for evolutionary and ecological hologenomics at the Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen. Our group and research The Center
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. The duration of the position is three years. Your work tasks In this PhD position, you will work with the spatial and temporal dynamics of shallow groundwater in urban areas. The overall aim is to obtain a
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Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for candidates for the following stipend: Learning the Structure and Dynamics of Complex Networks We
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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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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly