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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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models of dental care while staying focused on discovering new ones. We train the experts who lead the field. Our renowned faculty and staff provide students with a wealth of opportunities and resources
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including the following pdf documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree), detailed Curriculum Vitae
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Quan Zhang Effective
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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through vehicle-to-grid (V2G) technologies and mobile energy storage. This project focuses on the design, modeling, control, and hardware development of fast charging systems for heavy-duty electric
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communication testbeds using TMYTEK hardware Implement deep learning models for wireless channel estimation, signal detection, or beamforming Collect, process, and analyze experimental RF data Support MATLAB
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: Chetelat, B., Gaillardet, J., Chen, J.Bin, 2021. Dynamic of boron in forest ecosystems traced by its isotopes: a modeling approach. Chem. Geol. 560, 119994. https://doi.org/10.1016/j.chemgeo.2020.119994
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to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models based on simulated as well as annotated experimental cryoET data, informed