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applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims to create analysis‑ready
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of the Czech language in both written and spoken. Requirements related to job content Experience in user research: specifically in planning, moderation, analysis, synthesis, and communicating recommendations
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responsible for the development and implementation of data analysis methods to be used on two-photo imaging datasets collected by scientists within the center as well as the development of experimental
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This postdoctoral position offers a unique opportunity to work with research on two ongoing spatial transformation projects in Sweden. The projects situated in two different geographical contexts
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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isotope facility. The Department of Earth Sciences at the University of Delaware houses a state-of-the-art stable isotope laboratory (https://sites.udel.edu/eis-lab/ ) equipped with advanced instrumentation
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Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g
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⸻ Preferred / Additional Experience Experience in one or more of the following areas will be considered a strong asset: • Flow cytometry (FACS) • RNA-seq / DNA-seq workflows • Single-cell omics • Spatial
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models