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experience using qualitative and/or quantitative methodologies to collect, process and analyse data, in particular univariate and multivariate models and social network analysis (SNA); Creation of models and
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algorithms; - Automation of the model customization process by conducting laboratory tests.; - Improvement of the data workflow for real-time processing and sharing.; - Data collection in experimental and real
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or alternative protein sources is desirable. Knowledge of gastrointestinal simulation models is also required. Preferred Factors: Strong scientific communication skills, including a proven record of publications
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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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with the installation and operation of lab equipment is considered a plus; Familiarity with neuromorphic computing concepts and device modeling is also considered a plus; PhD in Physics, Materials
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) Overview of constant-depth lower-bounds in Computational Complexity, with a view towards using tools of mathematical logic and model theory, and relating these tools with the subjects of the HoFGA project. 2
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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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of the Selection jury, describing the applicant’s motivation and a brief explanation of how they fit the profile of the grant. b) Recent, detailed, and signed curriculum vitae. c) Copies of academic certificates
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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