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Field
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Lab ). Integrative analysis of single-cell multi-omics and spatial imaging data in cancer, immunology, organoids, etc., in the context of the Human Cell Atlas (single-cell analytics) and/or the ELLIS
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working at the interface of engineering and biology. We study the hematopoietic and immune systems in vivo through development and application of novel imaging and sensing tools. For this project, we seek a
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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. The Postdoctoral scholar will lead design, fabrication, characterization, and analysis of novel 3D nanophotonic devices for focusing and imaging. The ideal candidate would hold a doctoral degree in physical science
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proposals and reports. Minimum Qualification Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural
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engineering team to translate the models into production. The successful candidate will be part of a cross-lab, highly inter-disciplinary team of experts in ML, applied math, HPC, signal processing
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in mechanical engineering, civil engineering, materials science
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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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research findings via paper publications and external presentations. Required Knowledge, Skills, and Abilities: You have a Ph.D. in a relevant discipline (Materials Science, Physics, Electrical Engineering
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for a postdoctoral scholar position in the Center for Advanced Human Brain Imaging Research within the Brain Health Institute. The scholar will study multisensory perception, neural plasticity, and depth