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No. 1 scholarship grant for scientific training activities at INFN Structure of Padova for the following research topic (on the following activity): “Test of silicon sensors for the CMS experiment Outer
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meteorological, trace gas, and ancillary field sensors. Maintain and upgrade field site infrastructure, including scaffold towers, wooden platforms, and off-grid power systems. Coordinate maintenance schedules
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: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
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such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common
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to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
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Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of
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restrictions This funding is available to all nationalities. Other eligibility criteria This award is available to existing postgraduate students. Applicants must hold an offer of study at The University
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REQUIREMENTS The Department of Electrical Engineering is seeking applicants for a part-time researcher position. Job duties to include: Performing Neuromorphic Algorithms Assisting graduate students
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Continuation of award Continuation of the award is subject to satisfactory progress. Number available Varies by programme Funding provider The University of Manchester Faculty of Biology, Medicine and Health
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No. 1 scholarship grant for scientific training activities at INFN Structure of Roma for the following research topic: “Development and FPGA Implementation of Neural and Traditional Algorithms