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Field
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inference methods (e.g., fixed effects, IV, DiD) Advanced regression techniques - Strong programming and analytical skills (R, Stata, Python, Mplus, or similar). - Evidence of research productivity or strong
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project to study division in hematopoiesis using a new method to count division in vivo. The position is part of the ERC consolidator grant Dynamyelo. The research activity will take place within the new
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detector Characterization Group. IFAE is a worldwide-recognized center for fundamental research in Particle Physics, Astro particle Physics and Cosmology, as well as for developing state-of-the-art
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particle tracking. Experience testing antimicrobials in complex biological media such as mucus. Molecular microbiology: antimicrobial resistance determinants, virulence factors, hypermutability, genome
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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performing assays to determine cell signaling pathway activations using BRET/FRET methods, label-free and HTRF assays, WesternBlot or immunoassays. She/he must have expertise in confocal microscopy, and in
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diverse industries. The empirical setting for this project is business in Europe. Methodologically, the project will draw on several methods and instruments, including data collection from corporate
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computational methods to investigate quantum, optical, thermal and spin-dependent transport in complex materials. A central expertise of the group is the LSQUANT methodology, a suite of linear-scaling, real-space
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office, control of food quality, safety and security applications where either an emergency exists or an alternative method toward the sophisticated and expensive laboratory instrumentation is being
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security applications where either an emergency exists or an alternative method toward the sophisticated and expensive laboratory instrumentation is being required. Main Tasks and responsibilities