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monitoring of experiments. - Experimental data analysis. - Interpretation of Results. 3. Participation in the valorization and diffusion of results. - Paper redaction. - Writing of reports and technical notes
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chapters/directed lecture materials, and development of software tools for numerical analysis based prediction and comparisons for verification and validation (30%); and -other related duties as assigned (10
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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The Chicago School of Professional Psychology | Washington, District of Columbia | United States | about 22 hours ago
through their teaching, scholarship, and service, are strongly encouraged to apply. The campus is located in downtown Washington, DC, and is in close proximity to numerous cultural and recreational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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-tech, state-of-the-art micromechanical experimental analysis of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong
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-wide analysis of ovarian tumors. To identify novel biomarkers and cancer-related genes, we integrate data from multi-omics (i.e., SNP arrays, RNA-seq, DNA methylation, expression microarrays, mass
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placement and labeling protocols, responds to internal and external requests for health records from numerous sources with proper authorization, including patients, attorneys, physicians, and other agencies
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highly technical financial services to the Department of Plant Sciences, providing intramural and extramural account planning and budgetary analysis and management for a specific set of faculty and staff
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience knowledge