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, machine learning, or data analytics. As a proficient programmer (ideally Python), you will be curiosity-led, with exceptional communication skills, and thrive in a highly interdisciplinary environment. You
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Are you interested in working on a unique geological dataset to understand the evolution of one of the most enigmatic volcanoes? Salary range £44,247 rising to £50,379 per annum Business Unit School of Natural Sciences Closing date for applicants 30-Apr-2026 Are you interested in working on a...
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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Interviews are expected to take place on 29 April 2026 RCA Benefits available here: https://www.rca.ac.uk/more/work-at-the-rca/staff-benefits/ The Royal College of Art (RCA) aims to foster an inclusive
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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liveability and lived/living experience. More information about the project can be found here https://blogs.ed.ac.uk/discovering-liveability/ . The University of Lincoln supports hybrid working (on a non
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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dissemination of results through publications and presentations. Find out more about the O’Hare research and group at: https://ohare.chem.ox.ac.uk About you Applicants must hold a PhD in Chemistry or a relevant
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, including exoplanet studies, machine learning, cutting-edge radio instrumentation and digital signal processing, citizen science, sky surveys, and studies of transient and variable objects. Listen is deeply
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connectivity and network neuroscience measures? Can machine learning models trained on high-quality clinical data be adapted to work effectively with lower-quality data from community settings? For more