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03.05.2025 at 12:00 PM (noon) Number applications 3 Description of the research activity: Development of numerical methods and software for high-performance scientific computing, integrating traditional
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induce negative health effects that further increase the need for health care. By exploiting EU national databases, conducting a literature review using the scoping method, obtaining expert consensus using
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of influenza vaccines has traditionally been assessed using serological methods, there is an increasing interest on the role of cellular immunity in vaccine evaluation. The specific objectives of the PhD project
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Research Plan (PNR), will focus on the theoretical study and empirical analysis of demographic and social phenomena, employing and developing appropriate and innovative statistical methods. The research will
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involves the study of clinical evaluation methods of the temporomandibular joint aiming to identify and validate quantitative investigation methods with measurable parameters of diagnostic value. During
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are involved in proteostasis and oxidative stress. Among these, BACH1 is interesting because it binds to antioxidant response elements (AREs) thereby repressing the transcription of ARE-controlled genes
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internal data collection and transmission in the presence of metal walls, and a module for transmitting data to a centralized collection system. Energy harvesting techniques, specific data processing
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activities aimed at people in vulnerable conditions, to the development of innovative teaching methods and effective intervention strategies for the implementation of sustainable life projects. Where to apply
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dissociation of polaron-excitons in 2D metal halide perovskites. Utilizing tailored light sources, including intense terahertz (THz) pulses and high-harmonic generation, to drive and study emergent quantum
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of numerical methods and software for high-performance scientific computing, integrating traditional physics-based approaches with data-driven methodologies, including machine learning, deep learning, data