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, and drugs in human behavior. We use psychophysiological methods such as electroencephalography (EEG) and Magnetic Resonance Imaging (MRI), to study and localize the neurocognitive correlates of reward
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will pioneer
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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Andreev Modes Concepts, operation and maintenance of low temperature spectroscopic imaging STM including, quasiparticle interference imaging of correlated metals, topological states and superconductors
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | about 1 month ago
, or more cross-linked upon polymerization, correlated intermolecular fluctuations increase and affect deeply how sound propagates. This usually manifests itself as an excess velocity and/or attenuation
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correlation. The project is embedded in a highly innovative, multidisciplinary research context, integrating expertise in neuroscience, biophysics, and advanced imaging techniques. Where to apply Website https
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progression, and identifying patterns in imaging data that correlate with clinical outcomes. We anticipate the project will lead to production of scientific papers and dissemination of results through
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Coherent Diffraction Imaging (BCDI), ptychography, and X-ray Photon Correlation Spectroscopy (XPCS). The goal is to move beyond simple correlations to discover the causal, governing rules of defect-property
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instruments. Concepts, operation and maintenance of low temperature spectroscopic imaging STM including, quasiparticle interference imaging of correlated metals, topological states and superconductors
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data from multisite ovarian tumor samples. The information extracted from the images will be correlated with molecular (genomic and transcriptomic) and clinical variables to assess their predictive