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other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models on materials science tasks as well as integrate your semantic-AI services
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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methods in Social Sciences, with proficiency in data analysis procedures such as visualisation, differential analysis, mixed regression models, structural equation modelling, and supervised and unsupervised
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on childhood dementia CLN3, as part of ongoing research in the Bjørås group . About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease
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are differentially private algorithms for statistical model parameter estimation under different trust relations. About the project The position is funded by the Norwegian Research Center for AI Innovation and will be
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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the terms defined in the attached model. 16.4. The application is accompanied by the documents proving the conditions in this Notice, namely: Request required in point 16.3, above; Copy of doctorate
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made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high-quality