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workflows, manage computational tasks on high-performance computing platforms, and compile a standardized database following FAIR (Findable, Accessible, Interoperable, Reusable) principles. This database will
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in any of the following areas would be highly valued: prior work on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis
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vegetation using pollen data archived in sediment cores retrieved from target lakes in mountains areas (Alps, Pyrenees, and Jura). As a postdoc, you will: • Compile, review, harmonize existing pollen data and
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structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
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-emotional aging, and/or translational impact. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective
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further experiments; - Analysing and compiling the obtained research results; participating in the preparation of publication manuscripts and graphical presentation of the results; supporting the project
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
. The agent will operate at multiple levels. Infrastructure assistance: automating cross-platform installation, dependency management, compilation, and HPC/cloud optimization. Modeling intelligence: supporting
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to compile an individual employment package every year. Discount with health insurers on supplemental packages. Flexible working week. Every year, 232 leave hours (at 38 hours). You can also sell or buy
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research unit. The selected candidate may also be involved in additional activities or projects within the Centre, depending on organizational needs. Where to apply Website https://jobs.fbk.eu/Annunci
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in the water sector. We are seeking for a post-doctoral researcher, who will carry out studies to (i) compile and meta-analyse existing approaches for risk assessment of undesirable chemical substances