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how the infrastructure works and make scientific analysis usable by everyone. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5560-VALTHO-012/Candidater.aspx Requirements Research
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computational work involves protein structure prediction Publications in high impact factor journals Knowledge and experience in AMR, Artificial Intelligence in health and food systems Good laboratory skills
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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
researchers creating highly innovative platforms that make life easier for other scientists. Full time equivalent: 1,0 Type of job contract: fixed-term employment Expected start of employment: 1. 5. 2025 or as
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
human genetics and disease, toward developing RNA-based therapeutics. • Integrative Analysis of Multi-Omics Data: Build end-to-end workflows for bulk and single-cell RNA-seq, long-read sequencing, and
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microbiome structure and function contributing to recurrent urinary tract infection (rUTI) in postmenopausal women. A current major research focus of the De Nisco lab is the role of the urogenital microbiome
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coursework in the first year and for the remaining, up to five years, work on research projects that will make up the final thesis. The first year of the Ph.D. programme corresponds to the Master in
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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) offers a dynamic environment for collaborative, interdisciplinary AI research and deployment in complex, culturally rich settings, an asset for faculty seeking to make real-world impact. ABOUT UTEP AND EL