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for the study of (i) coherent quantum dynamics in open systems and/or (ii) strongly correlated electronic structure in quantum materials. Applicants may also propose other compelling projects in quantum science
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the boundary layer and the turbines, but also at the center. This should shed some new light on the dissipative structures and extreme events possibly responsible for the large scale evolution of the flow
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CORE A*/A conference paper. Ensuring the safety and longevity of nuclear reactors requires structural materials that can maintain integrity under extreme thermal, mechanical, and irradiation environments
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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(based for instance on classical and/or ab initio molecular dynamics, combined with ONIOM-type QM/MM approaches) to gain deeper insight into the structure of the HFIP solvent, its coordination properties
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system housing the two arms of the PET-SCAN system - Develop a simulation tool to optimize the prototype structure - Develop software tools for data acquisition and processing This work is being carried
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imaging data. Building on recent critiques of overfitted prediction models, the project will implement a structured, multi-tiered analytical framework, comparing classical regression techniques with modern
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
computational methods to investigate the structure, dynamics and function of cellular systems at the molecular scale. It consists of four scientific departments, multiple research groups and scientific core
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quantum phenomena and quantum matter in various nanoscale systems, including quantum wires, nanotubes, two-dimensional van der Waals structures, topological insulators and superconductors, strongly
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the dissolution of peptide powder formulations using in-situ UV spectroscopy. The candidate should have previous experience collecting, structuring, and analysing spectroscopic data using multivariate analysis