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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
on developing software that applies AI to medicine in areas such as disease classification, clinical decision support, early disease detection, and telemedicine to expand health access. Implements
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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, administrative and teaching technologies and services. Job Summary The job this position provides second-tier support to resolve end user issues related to hardware, site licensing, software and networking
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of this position is to support the maintenance and development of the chemical informatics infrastructure of the Institute. The candidate will be the main maintainer and developer of the codes and databases which
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 29 days ago
accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) and AutoLyap (https://github.com/AutoLyap/AutoLyap/ ) software packages
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to use information, communication and purchasing platforms effectively, including Microsoft Office software packages, web and email software. Please Note: Appointment to this position is subject to passing
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information, communication and purchasing platforms effectively, including Microsoft Office software packages, web and email software. Please Note: Appointment to this position is subject to passing a Working
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; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with VisionMetric , which is a leading SME supplying facial software to police forces in over 30
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Science, or related field Research experience, ideally with human participants Experience in R or other statistical software Familiarity with eye-tracking and LENA systems Research Assistant II: Bachelor’s