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Field
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theory is a plus. Experience with mathematical modeling, optimization, numerical computation, algorithm development, or machine learning. Prior knowledge on nonlinear dynamics, dynamical systems theory
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obtained) start your degree 31 March 2027 have an honours degree (First Class or Second Class – Division A) or masters degree with a research component in one of: biostatistics statistics mathematics
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applications at the frontier of modern mathematics. You will belong to a division whose research is concerned with algebra, analysis and dynamical systems. Partial differential equations have a strong research
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as part of a team translating psychological constructs into mathematical/dynamical rules driving comprehensive agent-based models incorporating disease transmission, behaviour and feedback loops
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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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Research Council (ERC) Starting Grant project “Energy-based learning of complex dynamical systems” (E-BLOCS), led by Dr. Henk van Waarde. The PhD student will actively work together with the other members
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disorders as a case study for advancing digital health in Europe. This position is part of: This project is part of Work Package 1: Hormone Dynamics of the ENDOTRAIN network and focuses on the study of
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perturbations? Come join us! Information The Computational Quantum and Molecular Dynamics group in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) invites
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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid