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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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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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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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, natural language processing, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and express willingness to increase technical proficiency through programming coursework
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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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a basic understanding of key AI concepts (machine learning, neural networks, natural language processing, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and
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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
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Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
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completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining. Experience with
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mathematics, while abstract mathematical concepts generate fresh insights into algorithms and discretization techniques – critical for numerical computations and simulations. This convergence signifies a