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between humans and a remote environment. The main challenge with such networked interactions is that haptic feedback has very stringent delay requirements as low as 20 milliseconds. Therefore, performing
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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. This proposal aims at solving the challenge of location-privacy by developing a) a system that can perform TMD with the capacity of generalization (not significantly affected by the geographical location, user
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shipping, identify critical criteria for integration and operation, and develop a model for simulation of the energy system. This includes normal operations, ramping, transit vs. port stay, and maintenance
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adapted for monitoring the state, performance and health of maritime equipment and systems, as well as for maritime traffic surveillance. The project will benefit from the anomaly detection research
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educational system Fluent oral and written communication skills in English Desired qualifications: Relevant experience in marine technology and AI will be advantageous Knowledge about high performance computing
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering
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such networked interactions is that haptic feedback has very stringent delay requirements as low as 20 milliseconds. Therefore, performing such actions remotely with both action and reaction traversing long
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experimental background in developing and performing experiments in one of the following; soft materials, robotics, complex materials, fluids, interfaces, active surfaces. Desired qualifications: Experience