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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Programmes 1. Capacities building for global health 2. Data Science
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-world buildings, data analysis, and modeling. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also
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and practices of mathematics and statistics. Knowledge of work-related subject area. Knowledge of computers and software applications. Ability to conduct research and compile data into report form
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following activities: - quality control, processing, and interpretation of geotechnical data acquired from the installed monitoring instrumentation, with particular reference to piezometric level time
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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transformation programmes across the University, working at the intersection of information governance, data protection and technology. Based within the Information Governance Office in the Directorate of
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datasets related to the study areas, including landslide inventories and geological, geotechnical, and geomorphological data. • Processing and analysis of SAR interferometric data (EGMS products and
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Università degli Studi di Roma Tor Vergata - Dipartimento di Biologia | Roma, Lazio | Italy | about 2 months ago
control of sequencing data, assessment of ancient DNA preservation, and the application of dedicated bioinformatic pipelines for metagenomic analysis Where to apply Website https://pica.cineca.it
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Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2025-26-academic-salary-scales.html Application Window Open date: December 1
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activities will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where