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Field
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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plasma p24 levels in ultra-low concentrations. This project will combine advanced immunological assays (e.g., flow cytometry, AIM assay, cytokine profiling), viral outgrowth assays, HIV integration site
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to model and analyse the intrinsic complexities of these systems. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains
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biology, cell biology, biochemistry, and plant-microbe interaction research come together to advance sustainable agriculture and reduce reliance on pesticides and mineral fertilizers. Further information
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biology, cell biology, biochemistry, and plant-microbe interaction research come together to advance sustainable agriculture and reduce reliance on pesticides and mineral fertilizers. Further information
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Topic: The rapid advancement of digital health technologies presents unprecedented global opportunities and challenges in public health and healthcare, data management and analytics in prevention
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, whereas the integrated track is the structured doctoral model that, with regard to the interdisciplinary scope, is designed to allow completion of the doctoral project within a time frame of three years
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with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we