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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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shift a critical part of the spatial and photophysical information into the temporal domain, in order to drastically reduce the number of photons and the acquisition time required for image reconstruction
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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University of California Agriculture and Natural Resources | Oakland, California | United States | about 1 month ago
programming. Experience conducting spatial analysis and geocoding using ArcGIS or other geospatial software. Demonstratable skill and experience with data visualization and presenting data in accessible formats
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profiling to determine the spatial and functional requirements of enhancers, and (4) tissue processing and molecular analysis of patient-derived clinical samples. The Eyler laboratory possesses a rich
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(transformative) effects on the reader. A literary analysis may also be conducted in tandem with an analysis of the lay-out/spatial arrangement of these texts within the handwritten codices: how does lay-out affect
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. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-post-doc-raw-materials-lca-for-the… Requirements Research FieldGeosciences » OtherEducation LevelPhD or equivalent Skills/Qualifications
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. This includes bird observation data, vegetation measurements, and spatial (e.g., GPS) data. Office responsibilities will include GIS work to support ongoing projects, such as analyzing spatial data and creating
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experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools