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- NTNU Norwegian University of Science and Technology
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
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language (preferably R). Experience in statistical data analysis and visualization. Knowledge of salmon and salmon physiology The ideal candidate will combine the following personal qualities: Hard-working
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–brain axis, the project combines behavioral and physiological measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with
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, tasks have a continuous evolution, and the precedence graph becomes dynamic. There is an initial method proposed in the literature, where a static model is proposed, introducing two states of products
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with great relevance also to human health. While being a basic research
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established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where might alternative or hybrid
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tools without disrupting established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where
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the maritime value chains. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive
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conduct pig experiments, behavioural observations, behavioural tests, taking saliva samples for cortisol analysis, statistical analysis Collaborate closely with the PhD that will be hired at the School