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: combining the best of modern learning methods with the best of control systems theory. The ultimate goal is to develop autonomous underwater robots that can learn, adapt, and make intelligent decisions while
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selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in control of marine vehicles and/or robots. Additional training in machine learning
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and treatment of adrenal diseases. Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new
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a Norwegian perspective, to meet growing electricity needs while enhancing energy security and reliability. The project will develop a national control framework to reduce power system losses, improve
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the reactor control system and the ship's power management system, coordinating responses across timescales that range from slow thermal transients to rapid load swings during berthing or heavy seas. In
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Communication Technology (IIK) at NTNU has a vacancy for a PhD candidate in AI‑Driven & Self-healing MAC Control for Integrated Terrestrial-NTN 6G networks. The position is fully funded and will run for four
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handling, positioning, and monitoring of biological experiments Develop integrated hardware-software solutions combining sensors, actuators, control systems, and cloud-based data acquisition Contribute
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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Fotograf Morten Hjertø 4th October 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in Control Systems Nuclear
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and