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., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, machine learning) Advanced skills in
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preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will successfully carry out experiments and analyze the data
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high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense experimental datasets, image series, or complex spectroscopy using
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Image-Guided Intervention Lab) in the Department of Radiation Oncology at Stanford University is seeking two Postdoctoral Scholars to develop next-generation AI and imaging technologies for image
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researchers, epidemiologists, and disease ecologists using multi-modal approaches to train and test AI models for image classification, develop habitat suitability models, and evaluate environmental
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ideal candidate would have experience in at least one of the following: mouse brain surgery, activity imaging (neurotransmitter, voltage, or calcium reporters), image signal analysis, and/or
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conferences. • Mentor junior scientists and help shape the intellectual culture of the lab. Position Details • Location: Stanford University, Stanford, California, USA. • Position type: Full‑time; open
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figure generation. Bulk RNA-seq workflows such as DESeq2 or edgeR. Single-cell or spatial transcriptomic analysis using Seurat, Scanpy or Space Ranger. Quantitative image analysis in ImageJ/Fiji or QuPath
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, biomedical image analysis, multimodal integration, quantitative pathology, statistics, or computational modeling. Cancer Biology: Tumor microenvironment, cancer immunology, stromal/ECM biology, therapy
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at least three ongoing clinical trials: A trial testing Cognitive Processing Therapy (CPT) for incarcerated individuals A trial testing an adapted version of CPT for individuals who use opioids