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Job Description Field of research: Applied biomedical research in the PI’s lab with emphasis on spatial omics assays—e.g., translational spatial genomics, imaging‑based profiling, assay/methods
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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: 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 for identifying
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analysis experience: one sample of your work demonstrating your ability to analyze spatial or temporal data using Remote Sensing and GIS tools (e.g., thesis section, coursework, project report, or technical
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-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor microenvironment. The post holder will develop experimental work flows
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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics
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inference). Apply social network, demographic, and spatial analysis to understand patterns in emergency care utilization and outcomes. Contribute to manuscripts, grant applications, and conference
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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