2,936 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" Fellowship positions
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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decarbonisation and digitalisation, methodology development and applications Publish findings in top peer-reviewed journals and conference proceedings Collaborate with other researchers on project discussions and
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transportation systems? We have an exciting opportunity to do just that in one of the UK’s most dynamic centres for engineering research and education. Working with industrial partners, you will develop and
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) structural and cultural determinants of well-being and mental health in national and global cohorts. The postdoctoral research fellow will contribute to multiple research projects by engaging in the following
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of an evolution of this concept, 3D Angular Momentum Multiplexing (3DAMM), for advanced infrastructure to train communications. Its application is to provide a low cost, energy efficient solution to deliver
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an exciting opportunity to undertake work on antenna synthesis and physical layer radio to underpin the science to enable practical implementation of an evolution of this concept, 3D Angular Momentum
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into: Developing and implementing Quantum Dynamics algorithms for non-adiabatic. Studying the photo-activated non-adiabatic photochemistry of prototypical chromophores. Simulating measurable signals from time
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. Ability to work in a fast-paced research environment and manage multiple projects and collaborations. Previous experience working with human specimens and developing novel, innovative cancer biomarkers
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of an evolution of this concept, 3D Angular Momentum Multiplexing (3DAMM), for advanced infrastructure to train communications. Its application is to provide a low cost, energy efficient solution to deliver