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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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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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English (C1 level) and has excellent communication skills; is well-versed in statistical programming languages, such as R or Python; (ideally) has gained some experience in writing scientific publications
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knowledgeable in your field and committed to keep up with the recent advances in the literature. You are proficient in both written and spoken English. Previous experience with light-based bioprinting, inlcuding
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statistical programming languages, such as R or Python; (ideally) has gained some experience in writing scientific publications. Our offer A position for one year, with an extension to a total of four years
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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
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formation via modifications to sedimentary redox reactions and sediment stabilisation, providing microenvironments favorable for organic matter preservation. A personalised training programme will be set up
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programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our