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-learning methodologies to create fast emulators of large-scale geophysical models. The specific goal is to develop an emulator of the MIT general ocean circulation model (MITgcm) for a regional configuration
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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, transfer learning, large foundation models or collaborative agents, etc.; (c) have good communication skills in both English and Chinese; and (d) be self-motivated and possess excellent coding skills
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built
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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
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arrival. Please note that, because of the large number of applications expected, we will not be able to give individual feedback to unsuccessful applications. Requirements Additional Information Work
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statistical and computational component, with a particular emphasis on gene-environment interactions and multivariate approaches. The candidate will work with real data from large-scale multidimensional cohorts
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records