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Field
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, while supporting the development of pathways and theories of change; develop reproducible analytical tools, workflows and monitoring and evaluation frameworks for repeated assessment across cases; Monitor
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/interests, some PhD students and postdocs are based at the other participating locations (Augsburg, Munich, Mainz, Hamburg). Interaction between the locations will be supported through hybrid options
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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Machine Learning Systems at MSU. We are seeking candidates in any area of research related to developing AI techniques, tools, scientific theories, as well as design and policy recommendations
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Theoretical Physics by the beginning date of the appointment. Expertise in modern aspects of non-perturbative quantum field theory, such as semi-classical methods, symmetries, anomalies, and lattice gauge
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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increasingly depart from free market principles when facing competitive pressure from China, often on the basis of simplified narratives about Chinese “state capitalism” that may not align with the accumulated
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Science Foundation (NSF) grant entitled “RTG: Combinatorics, Geometry, Representation Theory, and Topology” at the University of Oregon. Applicants should be in research areas connected to one of these four
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: exact diagonalization, Monte Carlo, and where appropriate, tensor network techniques. The postholder should also have a broad familiarity with the theory of strongly correlated systems and excellent oral
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how workplace contexts shape experiences of impostorism and how these experiences affect career development. Grounded in Social Identity Theory, the project aims to transform the way researchers