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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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funded by the Norwegian Research Council. The candidate will focus on: Synthesis of materials Electrode development Optimization of materials, electrochemical evaluation and operando characterization
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, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
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, particularly large language models or multi-modality models Knowledge in deep learning optimization, such pruning and quantization Strong academic writing skill Personal characteristics To complete a doctoral
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to and from work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places
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-modality models Knowledge in deep learning optimization, such pruning and quantization Strong academic writing skill Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management