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of research and academic teaching, contributing to a vibrant environment of research groups focusing on ethnography, materiality, urban/spatial studies, and multimodal/audiovisual research established
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we use include standard cell and molecular biology techniques, flow cytometry, microscopy (standard imaging and FRET, FLIM, FRAP), high throughput genetic and chemical screens, single cell and spatial
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Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and
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priority will be given to candidates that study cellular and molecular processes using high-dimensional biological data such as single-cell or spatial omics, structural data, advanced microscopy, multi-modal
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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program focused on spatial analysis and health policy, and will be capable of teaching courses in these core areas as well as mentoring graduate and undergraduate students. The teaching load
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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aggression, fear, and feeding), using large-scale neural recordings, advanced imaging, causal perturbations, and quantitative analysis in freely moving mice. For an overview of the lab’s research program and
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spatial and non-spatial data efficiently. Develop and implement ETL processes to prepare data for publication, analysis, and visualisation, including metadata and data packaging. Collaborate in an agile