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Field
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-based methods to achieve personalised and novel outputs. This position will have a particular focus on developing fundamental AI algorithms and methods that can be used in systems for real-time creative
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. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in
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-sensor situational awareness systems integrating them with a new autonomous unmanned ground vehicle capable of navigating Norwegian forest environments. The main goal of the project is to develop and
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of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill segmentation approach based on optical sensors, and how this can be integrated with SAR sensors, current
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the context of the SecondPass project. The research is conducted in collaboration with Norwegian Institute for Sustainability Research (NORSUS), University of Manchester (UK), and University of Leiden
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metabolites in these dynamics. The successful candidate will lead a project to develop novel sensors for intravital microscopy to study how these metabolites drive population dynamics. The Jacobsen laboratory
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of novel satellite data analysis algorithms and solutions that will form the technology foundation for new products. The position is for a period of three years. Admission to the PhD programme is a
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role of secreted immune metabolites in these dynamics. The successful candidate will lead a project to develop novel sensors for intravital microscopy to study how these metabolites drive population
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in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science/ ). The research programme in
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lead a project to develop novel sensors for intravital microscopy to study how these metabolites drive population dynamics. The Jacobsen laboratory has a dedicated 2-photon microscope for this purpose