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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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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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work on biology-informed machine learning for dynamical systems (see project description below). The position is based at the Department of Computer Science at Aalto University, Finland, within a
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mechanical engineering sub-disciplines of solid mechanics, manufacturing processes, mechanical systems design, and/or rigid-body mechanics / dynamical systems analysis are sought. The successful candidate will
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mechanical engineering sub-disciplines of solid mechanics, manufacturing processes, mechanical systems design, and/or rigid-body mechanics / dynamical systems analysis are sought. The successful candidate will
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are working in symplectic topology, mirror symmetry, geometric topology, dynamical systems, algebraic geometry, number theory, and mathematical aspects of quantum field and string theory. IBS-CGP is
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system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working across disciplines An independent, self-motivated approach to research You'll gain skills spanning dynamical systems
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lidars such as the Cloud-Aerosol Transport System (CATS) on the ISS and the Ice, Cloud,and land Elevation Satellite-2 (ICESat-2), as well as lidar instrumentation operated from high-altitude NASA research
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-making, or both interact with dynamical environments. The successful candidate is expected to have a solid background in one or more of the following areas: applied mathematics, systems and control, game
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dynamics, synchronization, and self-organization in large arrays of coupled semiconductor diode lasers. The work combines experiments with computational and theoretical modeling of nonlinear dynamical