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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded. solid experience from or competence in GIS and remote sensing, and
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in Python, Julia, Matlab, R or similar languages GIS-based spatial analysis and/or geospatial data processing Knowledge of energy justice, or sustainability transitions Familiarity with renewable
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. Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. Develop reproducible R-based analysis pipelines, including support for DataSHIELD or other privacy-preserving/distributed
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, perinatal, neonatal and child outcomes related to poverty-related infectious diseases. Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. Develop reproducible R-based analysis
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collaboration with national and international stakeholders, the project aims to establish a validated, data-driven design framework. Key outcomes will include an open-source Python toolkit, measurable