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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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upgraded software algorithms into multiple DoD and IC systems. Technologies include near-real-time software and systems, signal processing, machine learning, and related applications. This position works
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the Department of Communication at Stanford, allows journalists – whether freelancers, reporters from one company or collaborators across multiple news organizations – to share data and work together as they
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, it has matured into an established research community seeking automatic, computerized processing of 3D geometric data obtained through measurements or designs. The following developments have shaped
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applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will join the newly established Institute for Quantum and Information Sciences
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applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will join the newly established Institute for Quantum and Information Sciences
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sequencing, single cell sequencing, spatial techniques, organoids development, and evolving novel platforms amongst others. The overarching goal is to advance how we practice precision medicine. The successful
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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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infrastructures using GPU accelerators. Experience building data-fusion workflows to ingest multi-modality geospatial data. Experience using Python or other programming languages to develop AI algorithms in PyTorch