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Field
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research aims to uncover causal human brain circuits underlying emotion and cognition and advance mechanistically informed precision neuromodulation for brain disorders. Our framework integrates brain
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scientific and technical knowledge as evidenced by publications (if applicable) or successful projects in line with the job description.- Familiar with the latest in AI trends and models for development and
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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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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. While EMT simulation provides the required modelling detail, existing workflows do not scale efficiently to national and regional transmission systems.Our Vision: make EMT-based stability assessment
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waves and other weather extremes affecting society and the energy system. There are large knowledge gaps regarding the power production reliability under severe weather conditions and transforming energy
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UiO/Anders Lien 28th September 2026 Languages English English English PhD Candidate in advanced immune competent liver models Hybrid Technology Hub – Centre of Excellence (HTH CoE), Institute
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activity in vitro; basic knowledge of bioinformatics, molecular modelling and docking and/or structural analysis of protein–ligand complexes, as well as the ability to use in silico results to guide
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modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor