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Field
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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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therapies can be packaged in mobile apps. The postdoctoral researcher will work with MSc students to prototype and evaluate these concepts through laboratory studies and limited field trials. The results will
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for Alzheimer’s disease and related dementias (ADRD) in older patients with multiple chronic conditions and cognitive impairment. This clinical research-focused position involves working with clinical, imaging
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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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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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or microscope imaging are highly encouraged to apply. The candidate must also have excellent interpersonal, organizational, communication and writing skills. IUSM is committed to being an institution
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text-to-image models are or are not changing competition and cooperation along global supply chains, and how we can historicize these developments in relation to older forms of translation and
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imaging (fMRI) data, and the recruitment of research participants for the Fonzo Lab. This position is tied to an R01 project examining the effects of trauma-focused psychotherapy (cognitive processing
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models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. Required Qualifications* PhD (or equivalent) in Biomedical
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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