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Field
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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genetic perturbations into predictive models of tissue self-organization and repair. The project offers comprehensive interdisciplinary training in computational developmental biology and the opportunity
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UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI for energy informatics Apply for this job See advertisement About the position We invite
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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terrestrial ecosystems to better understand how soil microorganisms regulate global biogeochemistry which can be used to predict responses to environmental changes. We are a group of microbial ecologists
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas
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interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating
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and optimization, including model predictive control and reinforcement learning. The aim is digital-twin-based decision support for electrified groundwork construction. The position is placed
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committed to areas relating to the health of vulnerable populations, the One Health and global health approach, and the development of diagnostics, prediction strategies and innovative therapies. As part of