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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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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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simulations. To elucidate the amplification mechanisms underlying the experimentally observed transition, the authors conducted a resolvent analysis, providing new insights into the subcritical amplification
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Anatomy Full Time 88327BR Job Summary Under direct supervision, Bioinformatics Programmer applies machine learning and artificial intelligence (AI) concepts for the analysis of large scale genomics
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid culture (including maintaining stocks of lines). Additional techniques and experimental procedures may include spatial
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(energy, spatial resolution, stability) Analysis and interpretation of experimental data Preparation of scientific publications and presentations at conferences Interaction with academic and industrial
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Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used
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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as
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cultural diversity and urban public space. The fellow will support the implementation of research activities across three main themes: 1. Urban Landscape Mapping – assisting in the collection and spatial