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criteria: Have or be about to obtain a PhD in control theory or control engineering, applied mathematics, electrical engineering, computer science, cyber-physical systems or a closely related
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following: geometry, optimization, dynamical systems, mechanics, probability and statistics, data science, machine learning Evidence of potential for excellence in research Enthusiasm for applying
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FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Erlangen, Bayern | Germany | 4 days ago
position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Applied MathematicsControl, Dynamical Systems and Machine Learning ERC Advanced Grant CoDeFeL Friedrich
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systems. A special emphasis will be placed on developing theory that goes beyond the steady-state behavior of dynamical systems. You will also have the opportunity to collaborate with PhD students
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Analysis and Dynamical Systems. Applications should normally be made online. Candidates should provide a full academic CV, to which they should append: (i) a research statement outlining their research
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in ecological modelling, network analysis, dynamical systems, and linking theoretical approaches with empirical ecological data. Ability to work independently while contributing constructively to an
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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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mathematics, computer science, or a related field, and strong programming skills, to work on biology-informed machine learning for dynamical systems (see project description below). The position is based at
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, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work on biology-informed machine learning for dynamical systems (see project description below
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 1 month ago
your total appointment, averaged over the course of your PhD. Job requirements Essential An MSc degree in systems & control, electrical engineering, mechanical engineering, applied mathematics, physics