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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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its richness, evenness, and divergence components. You will investigate how these changes cascade across trophic levels and develop damage metrics that capture biodiversity loss under different
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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and
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, direct air carbon capture and storage, biogenic carbon capture and storage, biochar, enhanced weathering, direct ocean capture, all of which have different profiles of resource use, associated emissions
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between soil porosity and decomposition. In total, you will thereby seek to predict how organic matter decomposition across different carbon pools will contribute to land subsidence. In this research, you
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variables. Programming experience (e.g. Matlab, Python). A demonstrable interest in atmospheric physics and offshore wind turbines. Good organizational skills and ability to work independently. Good command
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. Python/Matlab). Ability to work well independently as well as in a multi-disciplinary team. Fluent in English (oral and written). Availability to start preferably in June/July 2026. TU Delft (Delft
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Demonstrated excellent experimental and analytical skills Basic command of programming (Python). Knowledge of thin film deposition and characterization techniques is a pre. Good communication skills Able to work