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- NTNU Norwegian University of Science and Technology
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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27 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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systems. Emphasis is placed on developing algorithms and system architectures that increase robustness and autonomy under real-world conditions. 3. Automation Technologies to Improve Safety and Reduce Human
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computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories
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computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories
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of blockchain, post-quantum cryptography, quantum algorithms, and heterogeneous quantum computing. Specifically, to achieve the main goal the project is expected to focus on three main areas: How can we support
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Integrated Circuits or Automation. Background in computational optics, inverse scattering algorithms, label-free quantitative tomography algorithms, optical simulations, image analysis or machine learning
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. This project aims to uncover fundamental "algorithms" the mammalian brain uses to predict or choose between dynamically moving agents, working at the intersection of ethology, computational behavior and systems
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2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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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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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