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, mathematics and computer science. We are specifically looking for candidates with a strong background in transport emissions and data analysis. The ideal candidate will have a working knowledge of programming
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent
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consumption of these technologies for full implementation. Evaluation and benchmarking of the environmental performance of innovative pharma technologies by life cycle assessment. In this PhD position, you will
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criteria Previous experience in standard particle physics simulation and analysis tools: GEANT4 and ROOT (assessed at: application/interview) Further Information Grade: 6 Salary: £31,637 Work arrangement
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chemistry, biophysical analysis via optical spectroscopy as well as the detection of nucleic acid in homogenous solution and in situ. The project also involves fluorescence microscopy and flow cytometry and
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under the supervision of Professor H.N. Mhaskar on his project funded by the Office of Naval Research. The candidate should have a Ph.D. in mathematics or related disciplines. The term is from August 1
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this research frontier. This project is a key part of our broader initiative to employ innovative, interpretable data-driven analysis methods and significantly advance our understanding of immune cell inter
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. Water mass exchanges at this confluence, which are likely driven by submesoscale currents, play a key role in the distribution of heat, salt, carbon and life sustaining nutrients and oxygen throughout
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the past ten years thanks to artificial intelligence, mainly in the form of deep convolutional neural networks. In parallel, functional analysis of tissue samples via novel microscopy techniques and spatial
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen