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. The position will involve working with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis
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projects to address the injury to marine mammal populations that occurred from the Deepwater Horizon oil spill. The incumbent will develop methods to use these data to estimate marine mammal occurrence
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in postglacial RSL, and evaluate glacial isostatic adjustment (GIA) predictions against empirical data. The selected candidate will utilize the skills and expertise granted to them by their education
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multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will
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with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis of case studies
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investigating large-scale circulation of the North Atlantic Ocean. The successful candidate will contribute to scientific research at the intersection of the RAPID-MOCHA and OSNAP observational arrays — two
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aims to use improved access to digital heritage to tutor the Digital Citizen in the use of big data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem
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Location: South Kensington (Hybrid) About the role: We are looking for a Postdoctoral Research Associate to join an Airbus- and Aerospace Technology Institute (ATI)-funded project to develop data
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of protein structure and function. Analyzes research data, evaluate results, and develop hypotheses to guide subsequent experiments. Assists, mentors, and supervises undergraduate and graduate student
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Quantum Networking