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Stimulation, Computational Modelling, Biomedical Engineering and Biophysics, Neurosciences Admission requirements: Bachelor’s degree in Biomedical Engineering and Biophysics. Must have attended courses
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“Intelligent Models for Outpatient and Medical Exams Scheduling Optimization”, reference FCT 2024.07481.IACDC/2024, financed by measure RE-C05-i08. M04 – "Support the launch of an R&D project programme aimed
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for managing data related to built heritage, with the aim of integrating advanced information modeling and simulation features in the future, such as 3D visualization, Augmented/Virtual Reality (AR/VR), and
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in the CV; b) Background and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information available in the cv and
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Management; Knowledge of data organization and management; Knowledge of database creation; Good knowledge of quantitative forecasting models and financial markets. Preferred Factors: Experience in creating
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data exploration and processing; Knowledge of Generative AI models n mainly LLM's; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development
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from academic degree recognition processes. Preferred factors: Knowledge of Machine and Deep Learning; Knowledge in data exploration and processing; Knowledge of Generative AI models n mainly LLM's
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make use of knowledge of data modelling, data storage and data processing. Support in the data modelling component, for the definition of the Domain Reference Model, is required. Work collaboratively and
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numerical and physical modelling studies to assess the agitation, stability, overtopping and pressures on maritime structures in ports and coastal areas and to evaluate ship behaviour in ports. The impact of