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scheduling and asynchronous access strategies for future wireless systems, with particular attention to mobility, spatial non-stationarity, and scalable device connectivity in extra-large MIMO deployments
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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” funded by Independent Research Fund Denmark and led by Associate Professor Christoffer Basse Eriksen. The project aims to carry out the first large-scale study of the making of the Flora Danica (1761–1883
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community data on plants or invertebrates derived from observations, sensors, or eDNA, in combination with environmental drivers, land-use history, and management. Experience with large and heterogeneous
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research in deep learning models for multi-sensor satellite data (e.g. SAR, SMAP) within a large international research project on AI-driven solutions for groundwater management. Expected start date and
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parameters, sediment and soil nutrients (especially carbon and phosphorus), and measurements of greenhouse gas dynamics. Experience in handling and analyzing large and continuous data sets covering a broad
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are dedicated to fostering a good work-environment where researchers’ work is supported, so they are inspired and thrive. Co-decision making and co-determination: the department fosters a large degree of
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sensing and autonomous systems into geospatial analysis? Do you thrive in interdisciplinary environments and enjoy combining data-driven research with hands-on fieldwork — whether on boats, underwater
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1 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Electric Power Systems and Microgrids Research Field
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interactions (force balances) in electrolyte solutions, covering many different types of electrolytes (strong, week, large molecular ions, etc.) Analyze systematically the role of relative static permittivity