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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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(landscape) ecologist with a broad, interdisciplinary interest with experience in spatial analysis of interactions between land use and biodiversity. Your work includes teaching courses in environmental
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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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approach development for rescaling the temporal and spatial resolution of satellite images to be used in prediction algorithm and software development Develop Research Report, Conference Presentations
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Responsibilities: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data
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is also placed on your: Strong skills in GIS and spatial analysis (e.g., QGIS, ArcGIS, or similar platforms) Familiarity with urban morphology and/or mobility studies Interest in comparative urban
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of High-Throughput Mass Spectrometry Data, Single-Cell and Spatial Omics Data Analysis, Biomedical Data Integration and Visualization, Computational Systems Biology and Network Medicine, Computational
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system. You will combine a mechanistic model and bioinformatic analysis of public datasets to derive a score for quantifying cancer immunogenicity. You can find out more about the research here: https