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testing of breast milk for HIV nucleic acid; dissection of human placental tissue for isolation of primary cells, cytokine assays, and preparation for spatial transcriptomics; and development of 3D models
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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& AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. We are particularly interested in applicants with a demonstrated track record of translating discoveries
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fast and occur on very small spatial and temporal scales. This makes it difficult to access the fundamental data required to control their size, morphology, and final properties. Furthermore
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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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evolution under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies
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include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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participatory analytics that integrates climate and health data, intersectional multi-level analysis of vulnerabilities, and participatory action research. A central aim is to translate lived experiences
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part of the Research Centre for Ecological Change (REC) , whose overreaching aim is to generate a coordinated analysis of the unique long-term ecological datasets collected in Finland to understand