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modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
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K.M.Ziems@soton.ac.uk or r.s.minns@soton.ac.uk . Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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vitro cellular assays. Experience in using mouse disease models is also desirable. Scientific knowledge in the areas described above equivalent to PhD* level is required. The post-holder will possess
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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data usage and analysis, 2. AI in prediction and in polling data; and 3. Use of AI to support environmental sustainability research. The programme leverages the UK-wide partnership model of NCRM. The