The Stanford Computer Science Department is looking for a Research Programmer in Natural Language Processing in Palo Alto, CA. The post states, “The Computer Science Department’s Natural Language Processing Group seeks a Research Programmer. The Research Programmer will design, program, extend, maintain, and evaluate new and existing algorithms and applications to support the objectives of multiple NLP research projects. In particular: the person will extend and build natural language processing software including probabilistic parsers, relation extraction systems, machine translation systems, semantic role labelers, co reference resolution systems, and other computational semantics systems in support of projects funded by the DARPA DEFT program, the Allen Institute for Artificial Intelligence, NSF grants, and perhaps other programs, depending on need.” Read more
Posts Tagged ‘Stanford’
The Stanford Center for Biomedical Informatics Research is looking for a Senior Software Engineer in Palo Alto, CA. According to the post, this position “involves end-to-end development of a large Web application architecting solutions for both back-end and front-end requirements. One specific important component will be the interface to the existing web application for storage and retrieval of metadata models. Propose, design, document and implement the back-end features and functionality of the Web software, including its interface to existing systems. Take user requirements, research potential solutions, and make decisions about implementations. Troubleshoot and resolve complex backend problems and optimize system performance.” Read more
Daniela Hernandez of Wired recently wrote, “If you walk into the computer science building at Stanford University, Mobi is standing in the lobby, encased in glass. He looks a bit like a garbage can, with a rod for a neck and a camera for eyes. He was one of several robots developed at Stanford in the 1980s to study how machines might learn to navigate their environment—a stepping stone toward intelligent robots that could live and work alongside humans. He worked, but not especially well. The best he could do was follow a path along a wall. Like so many other robots, his ‘brain’ was on the small side. Now, just down the hall from Mobi, scientists led by roboticist Ashutosh Saxena are taking this mission several steps further. They’re working to build machines that can see, hear, comprehend natural language (both written and spoken), and develop an understanding of the world around them, in much the same way that people do. Read more
The Stanford University School of Medicine is looking for a Software Developer, Research in Palo Alto, CA. The post states, “The Department of Pediatrics, division of Systems Medicine is seeking a Bioinformatics Specialist. He/She will conduct research and development in biomedical informatics and biostatistics, by architecting, developing, maintaining, and documenting a bioinformatics software infrastructure that integrates disparate forms of clinical and genomic data and offers other evolving capabilities to support research activities. Read more
The Stanford School of Medicine is looking for a Software Developer, Research, in Palo Alto, CA. According to the post, “You will play a critical role in building a customization of WebProtégé – the Web client for Protégé – that will be used by the World Health Organization (WHO) and the American Medical Association (AMA) to develop the new International Classification of Interventions (ICI) in a collaborative setting. ICI and derived versions for use in the United States are published by WHO and AMA and will be used worldwide for uniform coding of health interventions, reimbursement systems and automated decision support in medicine.” Read more
Stanford University is looking for a Digital Library Access Engineer in Palo Alto, CA. According to the post, “Stanford University Libraries is seeking an enthusiastic and talented software engineer to support infrastructure and services as part of its digital library, an internationally recognized technology program developing innovative solutions to advance teaching, learning and research at one of the world’s leading universities. We are a mission-driven organization that emphasizes open, collaborative work and community engagement within Stanford and with partner institutions around the world.” Read more
Lia Steakley of the Scope Blog recently wrote, “A web-based tool created by researchers at Stanford enables physicians and researchers to better interpret the wealth of data contained in medical images by capturing information in a way that is explicit and computationally accessible. The tool, called electronic Physician Annotation Device (ePAD), was developed by the Rubin Lab at the School of Medicine and is available to download for free. Daniel Rubin, MD, an assistant professor of radiology, and his team initially designed ePAD in response to an unmet need in cancer imaging, but he says the tool can be used more generally quantitatively evaluate images and characterize disease.” Read more
Stanford University Libraries is looking for a Linked Data Technologist, Metadata Department in Palo Alto, CA. According to the post, “The Stanford University Libraries (SUL) has an opening for a Linked Data Technologist within the Metadata Department in Technical Services. Linked Data will be key to Stanford’s evolving intellectual ecosystem. Location within the Metadata Department, the Linked Data Technologist will be responsible for the transformation of metadata from multiple metadata schemas into approved RDF models for ingestion into appropriate data stores. Flexibility and the ability to follow and anticipate developing technologies will be essential.” Read more
Stanford University Libraries is looking for a Linked Data Programmer / Analyst in Palo Alto, CA. According to the post, “The Linked Data Programmer / Analyst for Digital Library Systems & Services (DLSS) plays an integral role in defining, developing and delivering information systems and infrastructure for the library of the future at Stanford University. As part of DLSS within Stanford University Libraries (SUL), the holder of this position helps SUL’s efforts to support scholarship in the digital age by delivering on the promises of the digital library.” Read more
News came the other week that Senzari had announced the MusicGraph knowledge engine for music. The Semantic Web Blog had a chance to learn a little bit more about it what’s underway thanks to a chat with Senzari’s COO Demian Bellumio.
MusicGraph used to go by the geekier name of Adaptable Music Parallel Processing Platform, or AMP3 for short, for helping users control their Internet radio. “We wanted to put more knowledge into our graph. The idea was we have really cool and interesting data that is ontologically connected in ways never done before,” says Bellumio. “We wanted to put it out in the world and let the world leverage it, and MusicGraph is a production of that vision.”
Since its announcement earlier this month about launching the consumer version on the Firefox OS platform that lets users make complex queries about music and learn and then listen to results, Senzari has submitted its technology to be offered for the iOS, Android, and Windows Mobile platforms. “You can ask anything you can think of in the music realm. We connect about 1 billion different points to respond to these queries,” he says. Its data covers more than twenty million songs, connected to millions of individual albums and artists across all genres, with extracted information on everything from keys to concept extractions derived from lyrics.
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