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to unravel signatures of non-equilibrium dynamics and phase transitions in the transient electronic structure. We have a strong background and reputation in state-selective and spin-sensitive time- and angle
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 26 days ago
department’s research covers a broad range of topics in exoplanet characterization, including the chemical composition, thermal structure, and dynamics of gaseous planetary atmospheres; the formation and
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to dramatically improve patients' lives and change the world? Are you excited to push the envelope of understanding with respect to the structure and kinetics of genome-editing? Do you love learning and developing
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to unravel signatures of non-equilibrium dynamics and phase transitions in the transient electronic structure. We have a strong background and reputation in state-selective and spin-sensitive time- and angle
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. The successful applicant will investigate the structure, dynamics, and motility of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus using theoretical modelling, simulation
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distributions, cloud microphysical properties and processes, dust aerosol distributions and impacts, and atmospheric boundary layer (ABL) structure and dynamics. In recent years, we have focused on advancing
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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related field involving fluid/structure dynamics. The successful candidate is expected to: Independently develop scientific concepts and methods. Have strong programming skills, with proven experience in
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states, often next to material phases with charge order. On top of that, creating material atom by atom is a promising route to tailor the electronic structure and to realise artificial matter with exotic
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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which