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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Position Information Posting Number: 20260014V Position Title: UG Research Assistant
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Scintillators for Advanced Detectors applications in the Imaging and Particle Identification fields” Where to apply Website https://reclutamento.dsi.infn.it Requirements Research FieldEngineering » Materials
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on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | about 22 hours ago
life environments predict and interact with behaviour in this paradigm? Do these findings extend to target populations receiving support for addictive behaviour? The project will be supervised by Dr Emma
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 3 days ago
neuroscience or a related field. Experience with conducting research with families with children, applying coding schemes to interaction data, brain imaging analyses, and/or programming with MATLAB are desirable
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image-guided surgery and functional modeling projects. Lead workflow development and integration plans for adopting research outputs. Maintain current knowledge of literature in engineering and head and
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, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills
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supported by the Enterprise Ireland Commercialisation Fund Programme through project CF20242528. The project, ‘DeCaMaP’ focuses on providing a comprehensive digital Common Operational Picture to support
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digital Common Operational Picture to support Responders in managing Emergency Events such as Wildfires. DecaMap is a R&D project focused on developing next generation Earth Observation and AI technologies
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good