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whole-body cancer detection. We are interested in both technical development and clinical translation pipelines, leveraging resources at the Lucas Center for Imaging, synergies across the clinical MRI
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available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics and
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radiobiological responses to FLASH RT. Maintain and operate irradiation platforms, dosimetry systems, and imaging equipment. Collaborate with internal and external investigators to develop new experimental
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imaging; cellular and molecular biology studies and assays including for example cell culture and transfections, qRT-PCR, RNA and DNA isolation and preparation, ELISAs, tissue histology and microscopy, and
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions related to cancer progression and drug response. The scholar will aim to reveal molecular mechanisms through
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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affected by current federal funding directors or local hiring restrictions** Postdoctoral Scientist in Functional Brain Imaging for Precision Medicine in Depression Job Description We are seeking a well
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction