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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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neuroimaging research and clinical neuroscience is necessary. The project relies on advanced neuroimaging and data analysis, including MRI/fMRI processing and analysis, functional connectivity methods
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) is an advantage. Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. Excellent
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advantage. Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. Excellent written and verbal communication and presentation skills in
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer vision, video analysis, self-supervised learning, vision transformers, or multimodal learning
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quantitative or mixed-methods skills and interest in measurement and longitudinal organisational research. Experience with surveys, multivariate analysis, person-centred approaches or data visualisation would be
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accountability. The project combines critical-incident analysis, surveys, and intervention methods across organisational settings. It will generate new theory on legitimacy in AI-augmented leadership and provide
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languages. Experience in bioinformatic analysis of genomic data. Excellent English written and oral communication skills. Experience with 3D chromatin conformation capture methods (practical and/or
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modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. About the project/work tasks: Description of the INTEGRATOR project
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psychology; narratives and communication; Earth system risks and tipping points; or experimental and intervention-based social science. Experience with empirical data collection and analysis, participation in