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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You
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your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
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steel industry. A world without steel is unimaginable, yet we need to produce this steel sustainably. The Groeien met Groen Staal programme (GGS) aims at making the Dutch steel sector CO2 -neutral by 2050
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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algebraic geometry, or representation theory; familiarity with programming and the use of computer algebra. Our offer A position for 18 months, with an extension to a total of four years upon successful
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plan for and retire across more than one country due to factors such as health, climate amenities, socio-economic status, cultural values, and proximity to family, among others. These rapidly evolving
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investigates retirement experiences across countries, with a focus on the connections to the welfare state, family care networks, and the retirement industry. Today’s older adults are more likely to plan for and
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programming tools (e.g., Python, R, or MATLAB), ideally with experience working with spatiotemporally explicit datasets in raster or NetCDF formats. Familiarity with optimisation techniques such as mixed
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courses, excellent grades, and an outstanding master thesis). You have strong affinity with (social) entrepreneurship research, preferably including proficiency in programming languages (e.g., Python, R
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) physics, geosciences, meteorology, oceanography, or similar. You have strong programming skills (Python or similar). You have affinity with spatiotemporal data analyses, remote sensing and numerical