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channel. This will be followed by designing a new resilient waveform for UOWC and developing a computer-based simulation to evaluate its performance. Finally, the study will use existing UOWC channel
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the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
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package on archetype generation and develop data integration pathways Contribute to estimating environmental exposures at archetype levels using computational methods like fluid dynamics, AI and ML
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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and resilient housing today. Through comparative “building biographies,” the research examines construction methods, materials, retrofits, environmental performance and changing patterns of occupation
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machine learning methods that translate experimental measurements of compound retention and metabolism in bacteria into scalable computational models for drug discovery. The Research Assistant/Associate
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of neurodevelopmental disorders Experience of scientific writing and dissemination, including experience of scientific presentations Working knowledge of quantitative analysis & statistical methods Downloading a copy of
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their dependency with the design parameters, at various points across the entire flight envelope. You will be responsible for incorporating a new, computationally efficient method for evaluating flutter
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of basic research methods and statistical procedures Ability to conduct a detailed review of recent literature The opportunity to continue your career at a world-leading institution and be part of our
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of Science, Agriculture & Engineering: https://www.ncl.ac.uk/sage/ Find out more about our Research Institutes: https://www.ncl.ac.uk/maths-physics/research/pure/ Contact for the post is Chris.Bruce