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advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
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We are seeking a highly skilled Data Scientist to join the Computational Biology Facility (CBF), Liverpool Shared Research Facilities, University of Liverpool. You will contribute to an exciting
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will benefit from the computational and clinical electrophysiological infrastructure provided by the School of Biomedical Engineering & Imaging Sciences and will be based at St Thomas’ Hospital
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Trinity Laban Conservatoire of Music and Dance; | London, England | United Kingdom | about 2 months ago
Integral to Trinity Laban are the Programme Leaders who are responsible for the leadership and effective and efficient delivery of specified Programmes. They are charged with creating a learning
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Overview An exciting opportunity is available in the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield for a Research Associate to use their computational and
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university journey. We deliver a range of strategic initiatives including: Foundation Year programmes; CertHE support; ‘On Track’ progression and resit support; Pass First Time: academic study skills programme
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Programme Experience Coordinator to join our Academic Programmes team at Saïd Business School. The team is responsible for delivering a seamless, high-quality student experience across a range of world-class
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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, the university invites applications for 10-year full-time tenure track positions at all ranks in Computer Science to begin in Fall 2026. The successful candidate will be able to teach one of the undergraduate
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute