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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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Department:Computer Science Salary Salary:$63,480.00 - $63,480.00 Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: The theory group in the Department of Computer Science
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members to develop a normative theory concerning the proper place and scope of morally judging others in democratic politics. Funding is available for conferences and field research, research visits
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certificate. Job description: Work in research project Rules of Disputations and European Theories of Disagreement from a Polish-Lithuanian Perspective (1500-1795). Early Modern Views on Cognitive Diversity as
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arise from microscopic laws that are typically reversible. The project connects statistical mechanics, quantum theory and gravitational physics with historical and conceptual research on entropy
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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programming, microfluidics, and engineering to design sophisticated algorithms for exploring and manipulating information encoded in DNA-based graphs. The position is fully funded by a prestigious CNRS
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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, Neuroscience Posting Number req27102 Department Neuroscience Department Website Link https://neurosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Maurer laboratory