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apply at https://careers.epfl.ch/job/Lausanne-Postdoctoral-Position-in-Stochastic-Analysis/1163749755/ . Contact: Bernadette Brun, + 41 21 693 9051 Email: Postal Mail: EPFL SB MATH STOAN MA C2 647
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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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(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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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
analysis, based primarily on the evaluation of written documents, spatial data, interviews, and image sources. You have a doctorate in geography, environmental sciences, or similar disciplines and experience
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
the cryosphere, you have experience in computational data analysis or modelling, and you would like to move to the beautiful Swiss mountains, this may be the perfect position for you. If you are interested, please
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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
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industrial production strains. At the heart of this platform are microcolonies grown in gel-capsules, which are subjected to fluorescence-based analysis for quantification of the product of interest
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse