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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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experience. You will have demonstrable expertise in geospatial analysis and place-based data, experience working with complex or multi-source datasets, and the ability to communicate spatial insights to non
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candidate will apply spatial transcriptomics and single-nucleus RNA sequencing to human adipose tissue biopsies to investigate cytoarchitectural features and cell-type specific changes associated with disease
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
of: - Data Science Technology Platform, focusing on computational methods for large-scale integration and analysis of multidimensional data; - Single-Cell and Spatial Omics Technology Platform, focusing
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datasets and high-dimensional tissue imaging or spatial profiling data (e.g., multiplex immunofluorescence, spatial transcriptomics, spatial proteomics). Familiarity with analysis tools commonly used in
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Offer Description 1 (one) Research Grant in the scope of R&D project Exploring Action-Specific Effects with Perceptual Spatial Displacements: Does the ‘Pong Effect’ modulates Representational Momentum
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identification, and you will support onward analysis of these datasets. This is a full-time position working 37 hours per week on a fixed-term basis for 12 months due to funding. For more information on Biological
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our