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the Head of the Computing Group. Duties of the position Acquire and maintain cutting-edge knowledge of the field Coordinate with the supervision team to agree on research directions Actively participate in a
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, machine learning techniques, and programming is highly desirable. Genuine interest in deep graph neural networks models. Personal characteristics To complete a doctoral degree (PhD), it is important that
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, and entrepreneurship. Doctoral Candidates will gain transferable skills and learn from industry role models, equipping them to make significant contributions to solving the AMR crisis. The succsesssful
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economically while supporting a sustainable grid. This PhD project aims to leverage cutting-edge optimization, control and machine learning methods to optimally integrate vertical farms in these emerging
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we will apply state-of-the-art machine learning and deep learning techniques on open- access and collected datasets to determine how accurately these systems can identify dock plants under Norwegian
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address this challenge using advanced experimental techniques, numerical simulations, and machine learning methods to develop high-fidelity 3D renderings of deformed samples during physical tests. By
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or machine learning frameworks Good oral and written presentation skills in a Scandinavian language at level A2 or higher Personal characteristics To complete a doctoral degree (PhD), it is important that you
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employment. Required selection criteria You must have a professionally relevant background in Artificial Intelligence, Machine Learning, and Generative AI. Your education must correspond to a five-year
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theory (state observers, parameter identification), mathematics of partial differential equations, modelling and simulation, machine learning/reinforcement learning. Experience with design of state- and
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distinctions between valuable, acceptable, and non-acceptable use of these technologies in sport. The Nature and Value of Sport Virtual sports: With the help of virtual reality or computer-generated environments