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of higher education. Please consult the GSU list for information relevant to the nationality of your degrees: https://hkdir.no/en/foreign-education/lists-and-databases/higher-education-entrance-qualification
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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supercomputer hardware. The research work will be informed by collaborations with the scientific computing team that manages the local HPC resources at NTNU, and Uninett Sigma2, which manages both the Norwegian
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. The successful candidate will be enrolled in INN’s PhD program in Applied Ecology and Biotechnology, with a specialisation in Forestry. The PhD program helps address local and global problems concerning
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questions motivated by complex biomedical data. Local Research Infrastructure: You shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor
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biomedical data. Local Research Infrastructure: You shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor Valeria Vitelli at OCBE, and will
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relies on top-down, expert-driven decision-making, with an unclear role and agency for local communities. In contrast, human-centred design approaches rely heavily on community-oriented problem formulation
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learning will be explored as enabling technologies for automated leakage detection and localization, analysis of complex measurements, fault-response characterization, intelligent exploration of large
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, local democracy, and the role of global tech companies. This PhD position invites you to study how such developments are understood, contested, and governed. About the position The Department of Sociology
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close interaction with the world around us - globally, nationally and locally - we shall be instrumental in building a society based on knowledge, skills and attitudes. Do you want to take part in shaping