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effect of exposure to SV on IPV reporting rates and incidence. The candidate will be supervised by Prof. Caterina Muratori. The research assistant will contribute to the empirical analysis of the first
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postgraduate levels. Expertise in bioinformatics, high-throughput sequencing data analysis, and computational biology is essential. Skills in applying data science and artificial intelligence to biomedical
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rotation and pathogen treatments Cultivate and maintain plants in greenhouse conditions Monitor and document root growth throughout the experiment Sample plant and soil material for further analysis Support
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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recommends decisions for approximately half the JD applicant pool. Requires analysis of LSAT scores, transcripts, and careful attention to the detail of personal statements, recommendations, resumes and other
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supports standardized compensation processes by assisting with job analysis, data collection, market research, and compensation reporting in support of consistent, data-driven practices across all USG
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molecular biology and bioinformatics for microRNA and gene expression analysis, including experimental validation and integration with target genes and biological pathways. Experience or interest in antibody
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using ICP-MS and GC-MS-MS techniques Validation of analytical methods in accordance with applicable standards (PN-EN, ISO, GLP) Preparation of samples for analysis Conducting measurements, processing, and
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common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747/). Several lines of evidence suggest that these CNAs increase cell fitness and that cells carrying these CNAs represent
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. Key tasks include sample preparation, extraction, and HRMS analysis, as well as processing large datasets involving feature detection, annotation, structural elucidation, and trend analysis