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EPFL - Ecole Polytechnique Fédérale de Lausanne, Chair of Stochastic Analysis Position ID: EPFL-POSTDOC [#27659, 1898] Position Title: Position Type: Postdoctoral Position Location: Lausanne
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(X-ray based) analysis of materials systems for space applications" Your tasks Developing new materials concepts in the space domain with partners from Empa internal and external partners. Developing
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray...
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position is a PhD in mathematics, - A background in probability theory / stochastic analysis / PDE theory would be extremely beneficial. - Proficiency in English is required. We offer: - A stimulating work
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efficient synthetic routes to organic molecules relevant to flow battery electrolytes. Conduct multistep organic synthesis, purification, and complete molecular characterization (NMR, MS, elemental analysis
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ab-initio material inputs corresponding to the simulated device components, such as the Hamiltonian and Dynamical matrices, electron-phonon coupling elements, forces and energies, etc. Computing
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candidate will work closely with wet-lab scientists and will play a central role in the development, implementation and application of bioinformatics pipelines for gene expression analysis, with a particular
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acquisition using EEG, fNIRS, and/or eye tracking, as well as advanced expertise in subsequent data processing and analysis Experience in the administration of cognitive tests Evidence of thematically relevant
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combining model systems, advanced mechanical probing, and integrative analysis to elucidate how mechanical properties regulate biological function across molecular, cellular, and multicellular levels
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processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as