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. The successful candidate must be able to teach at all levels and supervise Master’s and PhD students. The successful candidate may also be required to take on other teaching duties and administrative tasks when
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that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant
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College will arrange for them to acquire such competence during the appointment period. Desired qualifications We are especially interested in candidates with one or more of the following: Strong
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system for ferry quays, containing labelled damage data as training material for a machine learning model capable of automatically classifying structural damage from drone inspection images. The project
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, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts. This position is part of the DRIVE project, funded by the Research Council of Norway
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to teach medical students. A detailed job description can be found here , including expected qualifications for the position and information about the assessment process. Duties of the position Lead and
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the motivation is that design and operational data, gathered across many vessels and many projects, could form one coherent body of knowledge that AI methods can search and learn from, helping surface relevant
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collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate
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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected to develop a research