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culturing and genetic manipulation of microbiota, immune cells, organoids, imaging and new microscopy techniques is a plus A record of innovative scientific accomplishments as evidenced by one or more first
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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partner/stakeholder sites. [Technical candidates] Design and develop prototype and testbed systems that will be deployed to community partners and stakeholders. All candidates will be expected to support
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, including the most recent papers. Preference may be given to candidates with knowledge in machine/deep learning, statistical inference, image analysis, survival analysis, causal inference, and high
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. The successful candidate will actively engage in molecular cloning, protein expression, purification, high-resolution live-cell imaging, biophysical experiments, genomic assays, and CRISPR-Cas9 gene editing and
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, including gene therapy and imaging technologies. Central to our studies is the lethal pediatric brain tumor, Diffuse Intrinsic Pontine Glioma (DIPG), particularly targeting cancer stem cells to address
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learning with a focus on medical imaging, and programming with one or more of the major deep learning packages (PyTorch, TensorFlow, Caffe, etc.) is desired. Application Process Please upload the following
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problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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our Advanced Research Concepts initiative . During the topic ideation process, Fellows work with program managers and other DARPA experts who serve as internal sounding boards. They engage closely with
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diffraction (EBSD), energy dispersive microscopy (EDS), image quantification, correlative microscopy, and electron probe microanalysis (EPMA). Prior experience is desirable but not required given a strong