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, and interprets cancer surveillance, population, geographic, environmental, and health services catchment area data using appropriate data management, statistical, GIS, and other programming software
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biological targets) on experimentally relevant temporal and spatial scales. Using statistical methods, links will be established between a detailed description of radiation damage events on the nanoscale
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Geography, Botany and Zoology) and as part of the E3 learning foundry which includes the School of Natural Sciences, the School of Engineering and the School of Computer Sciences and Statistics. Even for
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will be working in an experimental lab, performing data collection, analysis, and modeling of behavioral and electrophysiological data. Applications are invited to apply for a statistical data analysis
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is required. Selected candidate may be asked to complete a pre-employment physical including a drug screen. Strongly Preferred Qualifications: Demonstrable experience with the R statistical computing
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spatial data visualization tools. Building AI solutions, including chatbots, RAG, and other LLM-based tools. Interest in and experience developing software to support data-driven research. Application
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consequences for essential ecosystem processes. In the framework of the Biodiversity Exploratories (https://www.biodiversity-exploratories.de/en/ ), funded by the German Research Foundation (DFG), the project
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How do microbiomes vary, and what does that mean for host health and fitness? 3) Landscape-Level Change: What drives spatial variation in population dynamics across ecosystems? 4) Next-Gen Monitoring