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(visual anthropology), archival studies, careful interpretation of data from recent advances in art technology and re-created historical artistic practices on art works, DRESS breaks new methodological
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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are invited for a 3-year postdoctoral position financed by an Eranet program to investigate the impact of childhood adversities on adulthood psychopathology in a rodent model using in vivo electrophysiology
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superconducting structures, and/or develop cavity-coupled systems. The candidate is expected to publish their work in international peer-reviewed journals. Required selection criteria Completion of a Norwegian
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anthropology), archival studies, careful interpretation of data from recent advances in art technology and re-created historical artistic practices on art works, DRESS breaks new methodological ground by (1
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a multidisciplinary approach that cross-fertilizes art history, Kleiderkunde (visual anthropology), archival studies, careful interpretation of data from recent advances in art technology and re
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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with group members to develop theoretical frameworks for spin and charge transport in superconducting structures, and/or develop cavity-coupled systems. The candidate is expected to publish their work in
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components