16 software-defined-networks Postdoctoral positions at University of London in United Kingdom
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skills in distributed machine learning, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong programming and system development
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desirable if the post holder has experience in the development of production-quality software, computational Bayesian inference, and strong communication skills. For more information see the detailed job
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of production-quality software, the application of Simulation Based Inference and strong communication skills. For more information see the detailed job description and person specification. Research Environment
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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researchers at Queen Mary University of London (Dr Margherita Malanchini) and King’s College London (Professor Robert Plomin), contributing to a broader network of PhD students and postdoctoral researchers. Key
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, the successful candidate will have an independent 3-year research agenda delivering high quality research. The successful candidate will play a role in establishing an interdisciplinary network on war and violence
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neural network models, produce stimuli for artificial and biological agents, participate in experiments with chicks maintained in the Biological Services Unit, contribute to lab meetings and research
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for medical applications, working on software and hardware aspects for soft/eversion robots operating in remote locations, ultimately achieving fully functional prototypes. You will work in a team within the
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the invasion-critical RIPR protein complex; we will characterise cross-protective neutralising epitopes in PkRIPR and PvRIPR and we will define the precise mechanism of how neutralising cross-protective RIPR
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely