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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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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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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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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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Mathematical Sciences has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and
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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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⸻ 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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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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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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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