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dynamic and collaborative team, you will play a critical role in advancing state-of-the-art quantum sensor technologies and their integration into impactful applications. About You The ideal candidate will
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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(e.g. plant genetics, plant reproductive biology, plant molecular biology). Experience Demonstrable prior experience in one or more of the following research techniques would be an advantage: Functional
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impact in the UK bioenergy sector. The candidate will work within a dynamic and collaborative research environment and will contribute to shaping the future of sustainable biomass valorisation. Key
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instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
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Health Medicines R&D to facilitate the discovery and development of new drugs for invasive fungal diseases. Together, the MRC CMM, DDU and GSK GHM form a dynamic and multidisciplinary group that covers all
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instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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to work in Professor Polly Roy’s dynamic and productive research laboratory at LSHTM. The post is funded by Wellcome Trust and is focused on double-stranded RNA virus replication. Applicants should be
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. Discover more via our website. Your next career opportunity As a Research Fellow in the Forest and Landscape Dynamics Research Group, you'll lead the forest resource assessment component of a groundbreaking