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Field
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to democratic norms? The project provides and tests an original theory on the impacts of economic improvement on the quality of people’s political engagement and attitudes toward democratic institutions in
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using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory
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. Strong foundation in at least one of the following areas: Adaptive control theory Guidance and path planning Machine learning for control or estimation Excellent communication skills and a demonstrated
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at traditional domains (applied mathematics, data science, systems and control theory), multidisciplinary journals for a broad scientific audience, as well as discipline-specific journals in other domains (e.g
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. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to
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Responsibilities: Develop and apply phase field formulations for dynamic shear rupture in elastic and visco-elasto-plastic media Investigate the physical processes controlling nucleation, propagation, and arrest
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relevant methods and theories to be used in the research. Participate in organising activities in the CLEAR research group, such as regular meetings, conferences, and workshops. Teach Russian and/or
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as opportunities allow. Experience in robotics, crystallography, mass spectrometry, electrochemistry and inline analysis welcome as is an interest or experience in theory, programming or computation
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control, synchronization of biochemical oscillations, and gene regulation. The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing
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for important regulatory functions such as signal transduction, molecular motor control, synchronization of biochemical oscillations, and gene regulation. The goal at CCB is to advance the understanding