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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load
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the gap between conventional deterministic safety assurance approaches and emerging data-driven and autonomous technologies, helping to define future ESA frameworks, standards, and practices for crewed
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of the research project, including planning and designing experiments, data analysis. Presentation of project results at meetings and seminars. Publication of high-quality research articles. May be responsible
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relevant PhD (or equivalent qualification/experience) awarded prior to commencing the appointment Ability to develop a coherent world-leading research programme Ability to plan and build a team and deliver
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to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: A relevant PhD (or equivalent qualification
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of Cambridge: Classics, Geography, History and Philosophy of Science, Modern and Medieval Languages (including Theoretical and Applied Linguistics), Music, Philosophy. Further information about these Faculties
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data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research, supervise
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relationships with industry, government, professional bodies and the wider community. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance
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on developing AI-driven methods for catalyst and materials discovery, atomistic simulations, and data-driven understanding of complex energy systems. Key Responsibilities: Research Outputs: Expected to lead 1–2
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computer science, bioinformatics, data engineering, or a related discipline. Have or about to obtain* a relevant PhD (*must be obtained within 3 months of interview date). Significant, relevant research experience