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, and how previously stressed ecosystems recover. The relevant subproject within Resist will focus on macroinvertebrate metacommunity structure and larger scale trends in macroinvertebrates, fish and
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
steps; storage and manage metadata in a structured way # Feed data from model simulation back to Edaphobase together with the relevant metadata and in the way Edaphobase expects them # Extend
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environment in the metropolitan area of Marrakech. About CRSA: CRSA is a transversal structure across several UM6P Programs. Research within the center is organized around several major areas that aim to ensure
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-based carbon models based on unique datasets from long-term experiments and the national soil monitoring network for arable mineral soils. Your work will be based on methodological research for developing
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, recent publications, and projects. Your responsibilities: Conducting innovative research in the use of multiple LIDAR and ground-based data sources for forest height, structure and biomass estimation
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modeling, AI-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based
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characterization of high temperature alloy using SEM, EDS and EBSD Demonstrated record of advancing research projects through careful data analysis and evaluation of microstructure-structure-property relationships
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working