14 software-defined-networking Postdoctoral positions at University of London in United Kingdom
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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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matter and combine theoretical and numerical modelling with scientific software development to build a new framework for describing superfluid neutron star interiors. For this project, the post holder will
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-domain radio astronomy with machine learning and scientific software development to build a new framework for analysing pulsar glitches. For this project, the post holder will have access to state
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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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disciplines both within and beyond QMUL and are a core member of the International Trauma Research Network that includes academic partners across Europe and North America. Our highly developed human discovery
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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
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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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the field of live performance (and beyond). This 12-month full-time post offers invaluable access to a diverse professional, industrial and academic network through both the project partnership and by being
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Medicine 2023) and dissect their context -dependent role during cancer evolution (Ganguli, Nature Cancer, 2025). We also maintain a highly accessed resource of cancer genes (http://network-cancer-genes.org