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friendly catalysts and substrates. We use NMR spectroscopy for serendipitous discoveries and unbiased characterizations of molecules, their conversion, and their interactions in complex systems. Solvent
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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your
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testing dynamic equivalencing methods for power system dynamic simulations and integrating these into commercial simulation tools. Dynamic equivalents are simplified representations of complex power system
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uses of prescription tranquilizers’ headed by Associate Professor Margit Anne Petersen and funded by Independent Research Fund Denmark. The overall research project focuses on the complex relationship
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modeling paradigms; tool implementation and application to complex cyber-physical systems (e.g. transport, water, energy) Requirements Applicants must have a master’s degree in computer science or a closely
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transcription factor in most cancers, where it cooperates with many different protein complexes to activate diverse pro-tumorigenic pathways. Together with a senior postdoc in the lab, you will lead a research
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two-dimensional active sites, however, have a fundamentally limited efficiency for facilitating complex reactions that involve three or more reaction intermediates, due to the "scaling relations". In
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for these types of experiments at the single cell level. Your primary tasks will be to: Design and conduct experiments to generate high-quality datasets Analyze and interpret complex datasets related to gene
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learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three systematic phases
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of Civil and Mechanical Engineering, Thermal Energy Section. We look for a talented, self-motivated, and team-oriented individual who thrives in a collaborative environment and enjoys tackling complex topics