44 genetic-algorithm-computer Fellowship positions at University of Nottingham in United Kingdom
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The Mechanical and Aerospace Systems Research Group (MAS) requires an Experimental Research Fellow who is experienced in the field of multiphase computational fluid mechanics and aero-engine oil
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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biology of Aspergillus fumigatus, a principal cause of aspergillosis disease in humans. Specific aims are to understand the genetic basis of differences in sexual fertility between isolates and how gene
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opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. This position requires extensive experience working with genetic
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An opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive Technologies
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A fantastic opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches