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-picture challenges in science and technology innovation, and has aptitude for new scientific fields. Successful candidates also demonstrate excellent communication, teamwork, and scientific/technical
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language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment. AI Postdoctoral Research Fellows will be appointed through the Princeton
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ideal candidate should be passionate about behavior, neural circuits and evolution. Expertise or previous experience in systems neuroscience (especially in-vivo electrophysiology or calcium imaging) is
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Postdoctoral Fellow in developmental cell biology. Candidates interested in embryonic development, genetics, cell polarity, tissue mechanics and multidimensional image analysis are encourage to apply. Our group
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recent projects include: AI Image Segmentation for Building Material Identification; Reconfigurable Packable Robotic Furniture; 3D Motion Capture of Domestic Interactions for Kinetic Environments Design
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—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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energetic applicant with excellent communication skills and organization. The laboratory uses immunological methods, molecular biology, cellular biochemistry, redox biology, murine models, imaging, and flow
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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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to codify, prototype, and archetype sustainability and scalability pathways that can support nurse leaders aiming to transform US health systems at scale. The "Embedding Neighborhood Nursing in US Health