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Field
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of projects. Job Description: The successful applicant will be responsible for Performing literature review and background study on collaborative AI Develop algorithms and system designs that can optimize
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research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 3 days ago
) of the CEZAMAT Center of Advanced Materials and Technologies, Warsaw University of Technology. The successful applicant will lead WorkGroup 4 (Terahertz Devices & Systems) with objective to develop prototypes
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on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing. We are a
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related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
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for aircraft and spacecraft. Develop and enhance avionics components and systems, including integrating avionics with guidance, navigation, and control (GN&C) algorithms. Focus on advancing autonomous flight
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence