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, Psychology, Neuroscience, Computer Science, or a related field, interested in interdisciplinary approaches to understanding human cognition, experience with experimental research and data analysis, and
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theory and/or agent-based models) to formalize strategic interactions involving algorithmic pricing technologies. • Empirical analysis of real-world pricing data (e.g. e-commerce platforms) to detect
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the analysis of questionnaires and/or the use of experimental economics. Required Qualifications: The candidate must hold a Master's degree demonstrating a very strong background in theoretical modeling
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- Time-resolved single-particle cryo-electron microscopy: grid preparation, data acquisition and analysis, model building and analysis or Time-resolved serial X-ray crystallography: microcrystallization
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will develop semi-automated characterization protocols (I-V, C-V, pulsed) on samples and 300-mm wafers. You will analyze the variability in write and read capacitance levels, a critical factor for the
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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to the analysis of locomotor phenotypes using behavioral assays. • Participate in the bioinformatic analysis of the generated data, in collaboration with other team members. • Present results at team meetings
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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methodology combines: -Qualitative research (ethnography, interviews, documentary analysis), -Quantitative analysis (statistics, surveys), -Mixed methods. The project will work in collaboration with IRL CNRS
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environment combining cell biology, advanced microscopy, and quantitative analysis, with access to state-of-the-art imaging platforms and international collaborations. Research Work Environment Resources