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About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon, more efficient and resilient transport
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. Experience in multiscale modelling approaches would be highly desirable. The successful candidate will integrate computational structural biology approaches with experimental data, including X-ray
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The job details are shown below. For further information click on the link for the job description. Would you like to be a postdoctoral research fellow on the NIHR evaluation of new treatment models
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and highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying computational approaches to digital education data. The position
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upgrade paths for AI-augmentation Design, implement, and test AI models with integrated protocols, or frameworks Evaluate performance, interoperability, and security implications of replacing classical EDA
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analysis of experimental data; knowledge in research work in the field of experimental biology, demonstrating familiarity with the use of in vitro models (namely primary cultures of neurons and/or astrocytes
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interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS
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(PDX) models. The position requires proficiency in mouse handling and welfare and in repeated drug administration by oral gavage, intraperitoneal injection, and intravenous tail-vein injection
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical