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will employ up to 8 PhD Research Fellows, whose research will focus on the interaction between algebra, differential geometry, analysis and computational mathematics, as well as their applications to
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understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control algorithms. Implementation Expertise
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uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics offers excellent
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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methods for image-based characterisation of complex structures. Experience with machine learning, image analysis, scientific computing, or data science is advantageous, but the project focuses on
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Systems Analysis and Complex Systems. The graduate school is organised within the Departments of Environmental and Energy Sciences and Technology Management and Economics. About the research
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ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The
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expertise, insight and innovation to maintain UK warfighting readiness in an increasingly dangerous and complex world. As MOD's science and technology leaders, Dstl provides expert advice, analysis, and
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relates to mesoscopic cortical dynamics, including oscillations and spatiotemporal activity patterns. By developing and applying advanced causal discovery methods for complex time-series data, you will