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field, or substantial relevant work experience Strong analytical and technical skills, including data analysis and effective use of technical methods Excellent organizational skills with the ability
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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strengthened by sound organisational capability and the ability to complete high-volume tasks with accuracy while applying effective technical methods and processes. If you are excited by the opportunity
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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sources of evidence such as audio, physiological activity and characteristics of the students). This project aims to develop methods for supporting teachers in reflecting on their positioning strategies in
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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trials within the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research group . This position will drive participant engagement across clinical trials of psychedelic-based
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models