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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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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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to the properties of live sensor data: sparse, unevenly sampled, motion-distorted and partially observed Implement and evaluate the resulting systems on embedded hardware and on NIBIO's robot platforms Professional
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
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the Norwegian Railway Directorate. Duties of the position Complete the doctoral education, including at least 30 ECTS of coursework, and obtain a doctoral degree Collect, structure and assess relevant sensor
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scales. The PhD position is a 3 years position and is located at NIBIO’s headquarters in Ås, approximately 30 km south of Oslo. The candidate will be enrolled in a PhD programme at the Norwegian University
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selection criteria Knowledge of sensors and measurement techniques Experience from the industry providing sails for merchant ships Experience with Computational Fluid Mechanics Knowledge of machine learning
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modern theory. The Department offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels
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conceptual and practical research using drone detection systems, interceptor drones and other technologies driven by advanced sensors, data communication systems, and artificial intelligence. Are you motivated
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overcome the scarcity of real-world fault data by combining Simulation-Based Inference (SBI) and Building Performance Simulation (BPS). By integrating historical facility management (FDVU) records with live