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and explain how the profile supplements our research subject and our research questions. Subject description Product Innovation comprises theories and methods for needs- and knowledge-driven development
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Aug-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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an opening for a 1-year postdoc on dynamics of quantum systems and theory of measurement, starting as soon as possible. See our group at chenulab.com . The QDC team is a dynamic research unit within a rapidly
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 19 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09249 Is the Job related to staff position within a Research Infrastructure? No Offer Description The position is hosted by the QAT team
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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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Research Framework Programme? Not funded by a EU programme Reference Number PID2023-152793NA-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis