23 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at University of Bergen
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we
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“Regulatory Case Studies” led by professor Malgorzata Cyndecka. The theme of the PhD project is challenges and opportunities raised by the nature, use and regulation of synthetic data in light of, in
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the nature, use and regulation of synthetic data in light of, in particular, the GDPR and AI Act while taking into account the purposes of AI LEARN. Work tasks and expectations Conduct independent and
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