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21 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Marine Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 22 Jan 2026 -...
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22nd January 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Risk monitoring and Visualization for Human Supervisors of Autonomous
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patient-generated language reports. Explore advanced fusion strategies for integrating heterogeneous modalities into context-aware clinical decision support systems. Create visual and language-based
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decision support systems. Create visual and language-based representations of complex patient data to support shared decision making (SDM) between patients, caregivers, and clinicians. Conduct participatory
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and visualize timedependent structural and dynamical properties. Collaborate with an interdisciplinary team of researchers and actively participate in discussions and knowledge exchange within
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contribute to visual adaptation in wild-living mammals. We will combine optical measures and imaging of the retina with long-read sequencing of X-chromosome opsin genes within an evolutionary ecology/biology
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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techniques for robust perception in challenging underwater environments, including visual (and acoustic) sensing to enable reliable object detection, scene understanding, and interaction. You will thus
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of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual
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are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI