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Field
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position will focus primarily on the geometric representation of complex data and physical systems, including topics such as differential geometry, invariant theory, algebraic and metric geometry, symmetry
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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. The postdoc will be able to join as a co-author on work packages within the project or to propose their own ideas within its scope. Up to 20 percent of their time can be used for working on their existing
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Base Salary $117,936 - $125,896 + 17% superannuation About the opportunity The Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering is seeking a Postdoctoral
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the opportunity to further develop their research agenda and academic profile. The position includes teaching responsibilities and support for competitive grant applications. Research Focus You will use game theory
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program on Working Package 3, which focuses on a demonstrator illustrating the application of the mathematical theory of multi-agent viability in monetary economics. Designing a Model for Applying multi
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computing, and what the fundamental limits are. Your network and team You will work in the research group of Jukka Suomela . This is one of the leading research groups in the areas of theory of distributed
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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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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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, creating good opportunities for collaborative research and wider societal impact. The postdoctoral researcher(s) will have the opportunity to: develop new theory, methodology and computational methods