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). The park is situated within a large network of protected forested harboring a diverse community of large mammals including several species of nonhuman primates. We currently observe three large multi-male
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differing spatial resolutions. Using catchment-scale ecological and water quality data, the project aims to assess how abiotic drivers, biotic interactions, and stochastic processes jointly shape species
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with a team of data scientists and economists on policy-related research projects that involve advanced data analysis and economic modeling. The position involves extensive work with large and
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. The position would be an ideal substantive fit for students interested in development, political and economic inequality, and in processing and analyzing large-scale online data. Your tasks Data management
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goal is to provide insights into the effects of environmental factors on health and to develop methods for large-scale, cost-effective health research using satellite technology. Through data competence
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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project management skills strong programming experience (e.g. Python, Linux Bash scripting, CDO). expertise in processing large-scale data sets, especially NetCDF files is a plus specialist knowledge in
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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dynamics, in particular for very large fires. A special focus lies on extreme events and rapid changes. We want to test if our current climate and vegetation modelling tools can reproduce the past
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team sincere interest in analysis of large scale data - we can provide guidance Your