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of biosignals features and processing techniques. Experience in designing Spiking Neural Networks (SNNs) or deep learning algorithms Preferably, experience with FPGA development of SNNs ASIC design experience is
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Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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of Nevada, Reno (UNR) invites applications for a Postdoctoral Position: Supply Chain Modeling for Water Networks and Lithium Supply Chains. We are seeking a dedicated and innovative postdoctoral researcher
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in Dr. Xiaoyi Lu’s PADSYS Lab to investigate scalable system software for emerging applications such as precision agriculture, digital twins, deep learning, and so on. The Postdoc will also be focused
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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Position Information Posting Number F00613P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Non
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for recording across multiple cortical/ striatal circuits •Optogenetic and electrical real-time perturbations, including interventions directly related to clinical deep brain stimulation. •Parametric
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
/missing data, and interpretable deep learning. The duties of the postdoctoral scholar will include aiding the research of graduate students on multimodal ML projects and leading research directions
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Stanford's Center for Biomedical Informatics Research, you will have the opportunity to work in close collaboration with clinicians, scientists, and healthcare systems with access to deep clinical data
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in