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. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of useful information services delivered directly to
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. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture
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Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will
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research on appropriate statistical and machine-learning methodology in the areas of large scale omics data such as genomics, transcriptomics, proteomics/metabolomics and the integration of these, as
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The University of Glasgow is seeking a Statistical/Machine Learning Data Analyst within the College of MVLS Shared Research Facilities. The postholder will be responsible for performing analysis
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Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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research in machine learning and big data for collaborative machine learning. Responsibilities: Design and write robust, readable, and reusable code components and applications to implement state-of-the-art
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Future. Discover. Together. The Group for Applied Machine Learning at the Department for Artificial Intelligence at Fraunhofer Heinrich Hertz Institute in Berlin is looking for a student assistant
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collaborations with academia, industry, and society. The Data Science & AI division within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its
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transcriptomic readouts from cells - already produced, using diverse sequencing methods including long-read nanopore-sequencing with a protocol developed by the group - with of machine learning methods. We aim