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complex experimental studies. Willing to engage in international collaborations and contribute to a dynamic research network. Interested in mentoring and co-supervising students. Informal inquiries about
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-boundary problems has been developed during last decades as a consequence of problems solved in physical or biological contexts, achieved advances in material science, space technology and fluid dynamics
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using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Superintegrability in classical and quantum mechanics Description: Analytical investigation of dynamical systems both in
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structure of protons and nuclei. In the limit of high energies of the collision (small Bjorken-x), it allows us to the phenomenon called parton saturation, where the structure of proton is given as dynamical
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the correlation between the spin of a nucleon and the transverse motion of its partons. Understanding TSSAs helps us probe the role of gluons and their spin-related dynamics in hadronic processes. Measurements
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endanger the performance and lifetime of these reactors. We will develop a predictive multi-scale modeling framework to understand and mitigate this damage. At the atomic scale, molecular dynamics
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these limitations, we research a physics-guided machine learning framework that integrates physical knowledge with data-driven methods. Physical knowledge includes, among others, kinematics and the dynamics
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning
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processes related to soil organic matter dynamics and C and N cycles. ISBB applies modern methods used in soil ecology, including many unique facilities such as a stable isotope laboratory and a laboratory to
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utilization. ● e) Applying machine learning techniques: Dynamic selection of optimal post-processing protocols will be achieved by evaluating real-time network conditions and adjusting based on metrics