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their spatial patterns in varying environmental conditions. The successful candidate will integrate to the research unit « Microbial Oceanography - LOMIC : http://lomic.obs-banyuls.fr » in Banyuls sur mer, and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 minutes ago
to natural resources include managed landscapes such as agricultural systems and working forests, where irrigation practices create complex spatial and temporal patterns that are difficult to detect and
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related to staff position within a Research Infrastructure? No Offer Description This research aims to investigate the mechanisms that control the spatial and temporal variation of soil organic carbon (SOC
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, and spatial ecology. Evidence of ability to work collaboratively as well as independently. Supervision Exercised The individual is not expected to supervise others. To apply: Please apply via Academic
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with ecological design, climate adaptation strategies, or regenerative coastal landscapes. Ability to develop masterplans, design guidelines, or spatial strategies at multiple scales. Where to apply
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different types of social and ecological data at various spatial scales; o Experience working in R; o Strong written, digital and verbal communication skills, able to translate complex ideas into accessible
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hours; Health insurance, employee benefits, and life in a pleasant and safe city; Competitive salary. Where to apply E-mail vladimir.remes@upol.cz Website https://pracuj.upol.cz/nc/zprava/clanek/postdoc
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processing and synthesizing different types of social and ecological data at various spatial scales, as well as large spatial datasets in R or GIS ■ Experience working with R ■ Experience in socio
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be challenged. In particular, our experiments show that inactivation of hippocampus impairs spatial choice in close-to-ecologic conditions, but it has no impact on memory. Moreover, we observed
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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