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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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, 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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committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver
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nature-based solutions that enhance local recharge and support the replenishment of shallow groundwater systems in dryland environments. The project combines shallow FEM with deeper ground-based TEM
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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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to support scholarship, including fluids, water resources, soils, environmental, and structural laboratories, computational research facilities along with the Stormwater Green Infrastructure Research and
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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