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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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qualifications are desirable: The successful applicant should have experience in large-scale phenome and genome-wide association studies, r and python programming languages, causal inference analyses and machine
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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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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