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Field
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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
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to implement occupational and environmental health interventions. Current and planned populations of study include active-duty military personnel, bus operators, home care workers, and patients with co-morbid
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the "Application Procedure" section for details on how to apply (application form). Current PhD Openings Resilient
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and