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                or other organizations. Selection process Applications will be evaluated based on the CV, cover letter, and research proposal. Additional comments Scholarship 1 – numerical hydro-sedimentary modeling 
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                CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 28 days ago, Aquatic or Environmental Sciences or similar areas, with a final average equal or greater than 14 points (out of 20): Experience in ecological modelling Experience in writing of scientific papers 
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                /F) Call open for applications for a research grant within the framework of project 2022.06672.PTDC – iMAD - Improving the Modelling of Anomalous Diffusion and Viscoelasticity: solutions to industrial 
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                established there must be fulfilled until the time of signing the contract. Activity Outline: 1. Design of a 3D printing system. 3D modeling, definition of components and construction solutions. Contact with 
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                lecturers and program directors to automatically analyze the course unit sheets under their responsibility in SIGARRA, using large language models (LLMs). Legislation and regulations: Law Nº. 40/2004, of 18th 
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                until the time of signing the contract. Research Activity: The scholarship holder will provide support and collaboration in WP4 - Decarbonization of mobility, namely: Adaptation of travel behavior models 
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                clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team 
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                that the candidate fulfills the requirement contained in article 5 of the Regulation for Research Grants of the Foundation for Science and Technology, I.P. (model below) and other documents considered relevant by 
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                and normalization, including imputation of missing values. • Feature engineering based on risk factors and usage patterns. Support for AI Model Development: • Collaborating on the training of predictive 
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                ₂, and excess heat from electrolyzers, renewable energy sources (photovoltaic), and endogenous wastewater resources (water and sludge), paving the way toward energy neutrality. Modeling tools such as