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Postdoctoral Research Fellow, you’ll play a key role in the discovery of next-generation photovoltaic materials using a state-of-the-art Chemspeed Technologies automation platform, enhanced by AI-guided methods
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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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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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academic publication and interdisciplinary collaboration. You will have experience in qualitative and/or quantitative research methods, and be familiar with international policy frameworks such as the
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the Addiction & Impulsivity Research Lab and the Computational & Systems Neuroscience Lab . You will be part of a collaborative environment that integrates expertise in psychology, neuroscience and computational
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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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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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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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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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. Working under the direct supervision of the Group Lead, the Research Officer will assist in delivering high-quality experimental and technical research services to support the lab's program outcomes