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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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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. What We Offer As an employer, we
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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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) Limited until: 30.04.2029 Reference no.: 5322 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate
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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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. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop
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, or related field. Strong programming skills and experience with deep learning models, particularly Large Language Models. Evidence of producing high-quality research outputs. Experience contributing to and
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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; https://lft3.space). Lunar Farside Technosignature and Transients Telescope (LFT3) aims to exploit the uniquely radio-quiet environment of the lunar farside to perform pioneering low-frequency radio
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac