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Field
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, DeepFDM, MINO, etc., but also other methods for generative models in function spaces. Develop multiscale (resolution-invariant) AI models for wave kinematics and sea loads on ships, considering also phase
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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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candidate will possess a strong theoretical and practical understanding of error correction, information theory, and quantum information theory. In addition, a solid background in the mathematical methods and
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challenges like AI, fake news, echo chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media. The centre performs research
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. A solid knowledge of quantitative and qualitative research methods. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you cannot
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intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in
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be fluent in written and oral English and Norwegian Experience with international collaboration is an advantage The applicant’s personal suitability for the position is a significant factor in the
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, and collaboration with educators, JUSTHIS investigates how multiperspectivity can support reconciliation and justice. The goal is to develop shared, sustainable teaching methods that help teachers
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/communication devices are still complex. Therefore, to overcome these challenges, the solutions have been pointed to separate the functionalities and the hardware dependency by applying virtualization methods