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projects are focused on the design, development, and execution of computer simulations of system related to the maturation of the HIV-1 virus. Preference will be given to applications with expertise in 1
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a multidisciplinary, highly
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics
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interests and an explanation of why you are interested in the position. CV List of publications PhD degree certificate and any other relevant degrees Contact information for two referees The application
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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) Translation. The team will concentrate the analysis of this large and varied data set into four regional case studies (Calabria and Sicily, Carthage, the Southern coast of Gaul; and Gallaecia), the results