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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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learning analyses (e.g neuronal networks) Applicants who have experience also in biostatistics and work with secure servers and/or data clouds are particularly welcome to apply for this position
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the projects the researcher and the research group, are working on. The head of department and the project leader may instruct the researcher to work towards specific research projects. The researcher may
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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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. The call is open to projects within the psychology of learning and teaching Chinese and/or Japanese as a foreign language, as well as other topics related to these two languages in education and society from
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Medical Birth Registry of Norway and the Cancer Registry of Norway and apply machine learning methods and causal inference methodology (e.g., sibling designs and instrumental variable analyses) to identify