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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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the Centre for Intelligent Musculoskeletal Health (CIM) . The successful candidate will be employed at the Interaction, Development and Innovation Section at RHT, which consists of about 40 employees
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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induction programme will be delivered to all new appointees. Key Duties and Responsibilities Conduct and manage research and related administrative activities, with guidance as required, ensuring that project
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and operations; integrated air and missile defence; information advantage and future aerospace combat power; artificial intelligence) may be taken into account when evaluating an application
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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: “Intelligent nanoparticulate formulation for the development of new antibiotics,” in which we seek to examine whether the use of artificial intelligence can be a tool for the rational design of nanoparticulate
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novel computational models for intelligent analysis multi-variate time-series data during their PhD studies. actively take part in inter- and multi-disciplinary research activities relevant to AI Hub