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Field
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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their skills and experience. Current priority areas for A&A are: State preparation techniques Schemes for extracting information and observables from quantum computation Noise modelling of logical quantum
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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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team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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driving simulation, human-machine interaction, physiological and behavioral data collection, AI-enabled systems, and translational safety research across transportation, public health, and national security
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at The University of North Carolina at Chapel Hill in Fall 2024. He received the Ph.D. degree in Electrical and Computer Engineering from University of Texas at Austin, TX, USA, in 2023. His research focuses
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student works on a current research topic in the area of computer science in one of the computer science research groups of the University of Göttingen. The research group should be chosen based
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work