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Field
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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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emergencies. The project will generate spatial-temporal datasets from various sources including Spaceborne Satellites, Drones, In-situ instruments, Land-Management, Soil & GIS databases that can be processed
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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samples and run immunology assays including flow cytometry, single cell sequencing, spatial transcriptomics, and high throughput immune repertoire sequencing. Manage mouse colonies, including organizing
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Preferred Qualifications : Competitive candidates should be highly motivated and possess a PhD in quantitative/spatial ecology of wildlife or a related discipline with a strong quantitative emphasis (ABD
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of neurons to become active during spatial navigation, in mice. To this aim, the candidate will investigate longitudinally - by using head-fixed two-photon imaging in combination with cellular labelling
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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to predict precipitation fields over the Greenland Ice Sheet and the Himalaya in one combined project. For the Greenland Ice Sheet, the focus is on the spatial precipitation distribution on monthly and yearly
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The Faculty of Spatial Sciences is looking to appoint a postdoctoral researcher on the topic of regional innovation systems. The main responsibility will be to initiate and perform research