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motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods
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individual characteristics, including personality and motivation, are likely to influence both learning processes and long-term performance. This project addresses these questions using a dynamical systems
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experiments with computational and theoretical modeling of nonlinear dynamical systems with time-delayed interactions. A major objective of this position is to develop and implement efficient numerical
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department has 30 regular faculty members, and has leading research programs in Scientific Computing Methods, Mathematical & Quantum Physics, Environmental & Geophysical Fluid Dynamics, Control & Dynamical
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simulations. Experience with dynamical systems theory and mathematical modelling using ODEs and/or DDEs is desirable. What you will get in return: Fantastic market leading Pension scheme Excellent
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methodological strengths include dynamical systems, multiscale mechanistic modelling, scientific computing, and scientific machine learning. The department also supports experimental research through laboratory
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of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and distributed decision-making. Applicants must have a PhD in
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models. o Python, R or another programming language; previous experience is valuable but not required. o Computational/mathematical models (artificial neural networks, dynamical systems), behavioral
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portfolio, indicated by (but not limited to) the following to projects and disciplines: • Systems and synthetic biology • Control and dynamical systems • Photonic and electronic materials • Electronic
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Doppler radars, that will elucidate ice- and mixed-phase processes for a range of precipitating conditions and systems. State-of-the-art dynamical models used to study cloud and precipitation processes and