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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 and
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very well be tailored to you. Join our cutting-edge research team at Dynamical Systems section at DTU Compute and take your career to the next level. As a Postdoctoral Researcher, you'll have the
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five day old gastruloid, a mouse embryonic stem-cell derived pseudo-embryo. Job M2 internship offer: Emergence, Stability and Resilience in Biological Systems: A Dynamical Systems Approach Team
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project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical understanding of how magmatic ore
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chaotic. The position is intentionally interdisciplinary. We welcome candidates from control theory, nonlinear dynamical systems, applied mathematics, electrical or biomedical engineering, physics
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a Resilient Microbiome (Wellcome Leap Form) and involves closed-loop collaborations between experiments, modeling, and lived experiences (Wellcome Leap Awards). Statistical and dynamical models will
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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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KU Leuven | 2 months ago
-driven modelling approach is envisioned, with the aim to calibrate tidal dissipation in binary evolution models of interacting dynamical rotating stars. Applicants with a PhD degree in astrophysics
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learning-assisted methods: data assimilation, uncertainty quantification (UQ), and machine-learning-based moment closure models. · Multiscale modeling: kinetic limits of many-particle dynamical systems
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moment closure models. • Multiscale modeling: kinetic limits of many-particle dynamical systems, hydrodynamic limits of kinetic models, and semiclassical limits of quantum systems. • Theoretical analysis