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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network
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University of Nottingham Ningbo China is seeking to recruit a Senior Research Fellow in Magnetic Resonance Imaging (OUTSOURCED) in the Department of Electrical and Electronic Engineering. Your
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Sciences), and Markus Kaiser (Medicine). We draw on and develop a wide range of computational approaches to data, including unsupervised machine learning, network theory, and dynamical systems theory. What
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The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of solid mechanics and stress analysis to work across several industry relevant projects and for the development of future group research strategy. MAS has a large...
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a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such will not be eligible. *Most applicants will be
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the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in
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team consists of researchers across sustainability, food systems, operations and supply chain management, computer science, environmental and animal science, and environmental statistics. The successful
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The post holder will be expected to work collaboratively as part of an interdisciplinary team, as well as undertaking independent research. They will use approaches, methodologies, and techniques appropriate to the study, in accordance with the study methodology. Specific tasks will be...
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project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for
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to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for clinical depression