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under the “Cryptographic elements of trustworthy AI” project. The main research objectives for the project are the following: Analyze security of Machine Learning (ML) models against data modifications
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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to partners in the USA or other countries. It is expected that the PhD candidate contributes to a social and interdisciplinary research environment and should know, or be willing to learn, the Norwegian
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society Through robust and close
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or a related field with a focus on cognition such as anthropology, archaeology, biology, or cognitive science. For admission to the doctoral programme, grade B or above for the master’s thesis is
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to the doctoral programme, grade B or above for the master’s thesis is normally required. The applicant must have expertise in at least one systematic and analytical methodology, such as: designing, running, and
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basis for admission to the PhD programme. Applicants with education from a Nordic country or medical degree from the EEA area and a license to practice medicine in Norway are exempt from the requirement
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. Addressing housing-related health risks in the USA, Vietnam, Turkey, and Ecuador, the project integrates community engagement, data science, and computational modeling. The key objectives of ComDisp
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computational modeling. The key objectives of ComDisp are: • Identifying and understanding housing, air quality, and respiratory health issues in each case study. • Linking climate change models to housing
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application. Please note that the automatic recognition offered by HK-dir insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with education from a Nordic country or