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studies examining intersections in caregiving participation and outcomes. We in particular invite candidates who are interested or experienced in intersectional analysis, have an affinity with quantitative
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variety of case studies also allows studying diverging trends, e.g. paying attention to both population growth and decline. The analysis will build upon recent detailed spatially explicit data developed by
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data analysis, preferably using R or Python, and motivation to acquire advanced skills Ability to work independently in the lab and field, but also in the interdisciplinary project team Excellent writing
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). The latest AI tools, such as Alphafold, BindCraft will be integrated to complement the analysis. The planned starting date for the project is flexible. Where to apply Website https://www.academictransfer.com