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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of new synthetic methods and routes to the target scaffolds and their application to construct new high impact molecules. Research is conducted within the highly collaborative environment of the UNC Center
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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interactions. Orbit dynamics evolve over a longer timescale compared to the rapid dynamics of attitude and GNC systems. Simulating these subsystems together requires sophisticated numerical methods to maintain
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms
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training will also be provided for grant writing, with numerous opportunities to serve as co-principal investigator on federal grant proposals. If desired, teaching opportunities could also be made available
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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concepts and working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts