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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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Details Title Postdoctoral Fellow in Imaging Approaches to Measuring Brain Energetics School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a
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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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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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Expected Start Date: July – Sep 2025 Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with
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group investigates how intelligence emerges from the collective dynamics of simple processing units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide
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. Benefits The Moulay Hicham Alaoui Postdoctoral Fellow will receive a stipend of $70,000, payable over twelve months. Basic Qualifications: Applicants must have received a PhD within the past three calendar
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$70,000, payable over twelve months. Basic Qualifications Applicants must have received a PhD within the past three calendar years in a relevant social science field—such as political science, sociology