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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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trajectories between the United Kingdom and India. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the
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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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experience in programming and handling large (climatological) datasets. You are interested in the fundamental physical processes in Earth’s atmosphere and climate change; You are a team player. You have
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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