471 postdoc-computational-fluid-dynamics-2017 Postdoctoral positions in United Kingdom
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, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction
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multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in
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Earth and bring about positive change. The postholder will be mentored by Inês Martins , who holds a University Research Fellowship from the Royal Society entitled ‘Understanding the Complex Dynamics
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plumbing poverty; identify and situate key trends, forces, and dynamics in urban inequality, housing trends, and debt-driven governance; developing a broader theoretical explanation of the state of social
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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to Topping Green Corridor running into and out of Middlesbrough. These three green corridors are part of an ambitious programme being led by the National Trust to help work in partnership to establish 20 green
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(PDRA) with experience of statistical analysis and/or modelling, computer programming and preferably some meteorology/climate background, to join our growing team. You will work directly on the NERC
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI