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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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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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Machine Learning software, e.g., Python, Java, C++, Prolog, Javascript Proven ability to analyse and write up research results and handle related administrative duties Ability to develop multi-agent
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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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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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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
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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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-leads the Oral and Craniofacial Network within the Human Cell Atlas (https://www.humancellatlas.org/biological-networks/ ). Embedded in an exciting environment at QMUL, you'll have access to state
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Time Closing Date: 23.59 hours GMT on Friday 28 February 2025 Interview Date: Wednesday 19 March 2025 Reference: PPS-0371-24 The Critical Research on Industrial Livestock Systems (CRILS ) Network aims