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mobile health technologies enable the continuous capture of rich, multimodal physiological and behavioural data. These data when analysed with Artificial Intelligence (AI) and machine learning methods can
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The job details are shown below. For further information click on the link for the job description. Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn
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The job details are shown below. For further information click on the link for the job description. Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn
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-driven, technologically enhanced solutions for biodiversity conservation. For further information on this project and details of how to apply, please click on the 'Apply' button above and https
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for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning and Data
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have an international profile in research and education in any of the following areas: systems security, security engineering, security testing, computer forensics, AI for security and privacy, and
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survival is shaped by resource availability, competition, and cultural knowledge of food resources. You will work with an established bioacoustic dataset, a validated call machine-learning classifier, and a
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using novel hardware accelerators, and the development of fast simulations using generative machine learning techniques. The main focus of the postholder’s job will be data analysis (including
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A University of Manchester The University of Manchester enjoys a global reputation for its research and its innovative approach to learning and is one of the largest single-site universities in
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol