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matter in non-equilibrium conditions, defining new observables, and applying data-driven analysis to distinguish coherent response from fluctuations, correlations and phase-transition dynamics. Main tasks
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, through the analysis of its interactions with phyB and COP1, the functional characterization of ELF3 allelic variants, and the study of the molecular mechanisms involved in the temperature response. Define
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution of semiparacrystalline (SPC) morphology with device
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Potential, among others, as well as in data analysis and the preparation of scientific documents. (punctuation: 60) Item 03: Interview. The interview will only be held for candidates who achieve a minimum of
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of computational methods for the analysis and integration of transcriptomic data obtained using single-cell RNAseq and spatial transcriptomics technologies, which enable the study of gene expression at cellular
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Dynamic Reconstruction of Complex Sound Fields (SONIFY)”.This project provides a unique opportunity to conduct cutting-edge research in acoustics, sound field analysis, spatial audio and room acoustics. We
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) offers 1 fully funded PhD position “Architecture Analysis and Models Development of DC Micro Grid for New Gateway Electrical Power Subsystems” within this international research network, providing
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
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candidate to carry out the following functions: Characterize by time resolved THz spectroscopy (TRTS) and THz time domain spectroscopy (THz-TDS) semiconductor samples. Lead the analysis of data and the