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Position Location: Palaiseau, Ile de France 91128, France [map ] Subject Areas: Physics / Electron Hydrodynamics , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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interviews and video research), quantitative (survey development, descriptive/inferential statistics, application of Classical Test Theory or Item Response Theory, etc.), and/or mixed-methods (e.g., convergent
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The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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, Electronic Structure, Strongly Correlated Materials , Condensed Matter Theory , condensed matter theory; ultracold quantum gases , Energy Materials , Quantum Information , Soft Condensed Matter Physics
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ideas matter in the real world? Are you excited to co-create, together with non-academic stakeholders, a transdisciplinary framework that synthesizes ethical theories of human flourishing with system
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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. As a researcher in this project, you will work on how theories of human affective processing can be implemented and tested in artificial agents. A central question is how systems consisting of one