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Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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library design, DNA probe design, DNA based cell staining, multiplexed protein/DNA bioassays, various DNA technologies, PCR, RNA sequencing, microarray-based biosensor, omics data processing, artificial
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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learning/artificial intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects
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degree in Cognitive Science/Psychology, public health, computer science/artificial intelligence (AI), informatics, or a related field required. Qualified candidates must be in the process of completing
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library design, DNA probe design, DNA based cell staining, multiplexed protein/DNA bioassays, various DNA technologies, PCR, RNA sequencing, microarray-based biosensor, omics data processing, artificial
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submit papers to top journals in statistics, and top conferences in machine learning, statistics, and artificial intelligence. The candidates will also present their research at conferences in these fields
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Qualifications Preferred experience: Expertise in MRI, artificial intelligence/machine learning, medical imaging software development, clinical MRI applications Why MCW? Outstanding Healthcare Coverage, including