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for identifying concentration, floe size, geometry, and possibly stage of development. The plan is to build models so that radar measurements alone can be used to populate, as far as possible, the Stage
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of the Software Engineering unit. About the project Software is today prominent in many critical systems and infrastructures, such as power distribution systems, railway infrastructure, or flight control systems
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unit. About the project Software is today prominent in many critical systems and infrastructures, such as power distribution systems, railway infrastructure, or flight control systems. These systems
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societal consequences to understanding how organizations become dependent on systems and services they do not control, and how such digital dependencies affect their capacity for independent decision-making
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from exercise-trained donors can counteract Alzheimer-related pathology in experimental models, and we lead clinical trials testing exercise and “exercised plasma” as treatment strategies (e.g
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data analysis, statistical modelling, machine learning, life-cycle cost analysis, risk analysis or operations research The appointment is to be made in accordance with NTNUs guidelines for recruitment
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in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor data analysis, statistical modelling, machine learning, life-cycle cost
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
; Autonomous ships and remote control. The research partners are the Norwegian University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval
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the underlying biological mechanisms in humans remain poorly understood. Our group has shown that plasma from exercise-trained donors can counteract Alzheimer-related pathology in experimental models, and we lead
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted