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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in
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Analysis and Research Group (EPAR) Position Details Position Description The Daniel J. Evans School of Public Policy & Governance is a nationally top ranked public policy school, serving nearly 500 students
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other trace metals from aqueous solutions; (2) help design of scaled-up extraction systems based on test results; (3) aid in chemical analysis and identification of relevant metal and sulfur species in
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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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group meetings, including experimental planning and troubleshooting, Perform data processing and analysis, Contribute to documentation of protocols, results, and reproducible workflows. Employment
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. Current research areas include: hadronic amplitude analysis and scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model physics, and formal
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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage as well as experience in the analysis or modelling of LSS data, including (but not limited to) galaxy clustering and CMB
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to shaping scientific questions Research techniques Laboratory safety Experimental design Data analysis interpretation Statistical analysis Literature search and evaluation Knowledge of manuscript submission
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experience in: Mammalian cell culture. High-performance computing environments. UNIX and Python and/or R. Reverse genetics systems or viral culture. Advanced statistical or computational data analysis
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3 Jul 2026 Job Information Organisation/Company Autonomous University of Madrid (Universidad Autónoma de Madrid) Department Teaching and Research Staff (Personal Docente e Investigador) Research