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. The supervision 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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collaborative learning processes Developing the research competence required to complete a doctoral degree Required selection criteria You must have a professionally relevant educational background in psychology
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
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methods at the intersection of scientific machine learning, reservoir/production engineering, and process systems engineering. This position will focus on the research of physics-informed AI-based models
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, flow, and process Optimization (AI-PRO) project. The goal of the project is to produce generalizable methods at the intersection of scientific machine learning, reservoir/production engineering, and
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. We are seeking a candidate motivated to explore the how emerging technologies – such as machine learning, generative AI, and extended reality (XR) – impact societal preparedness planning required
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characteristics To complete a doctoral degree (PhD), the candidate is expected to: demonstrate strong motivation, curiosity, and a learning-oriented mindset work independently, take initiative, and maintain good
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or more of: GIS and spatial analysis, environmental sensing or the Internet of Things, data analysis, AI or machine learning, and simulation or environmental-performance modelling within a urban context
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embed user-defined conditions and structural constraints directly into machine learning routines to achieve high-resolution 3D interpolation of rock mass properties. These synthesized geotechnical fields
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skills in English. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Willingness to learn new fields and adapt to a multidisciplinary research environment