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., Python, MATLAB, or similar languages) is advantageous. Knowledge of mathematical modelling, computational mechanics, or data science is considered an advantage. Interest in cardiovascular physiology
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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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practical knowledge and expertise in the field of photonic crystals/metamaterials; strong problem-solving skills, self-motivation, and an ability to collaborate in multidisciplinary teams; a strong track
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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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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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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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practical knowledge and expertise in the field of photonic crystals/metamaterials; strong problem-solving skills, self-motivation, and an ability to collaborate in multidisciplinary teams; a strong track
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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