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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 13 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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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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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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the following tasks: -Finetunning a Language Model for retrieval of questions related to the Portuguese Consumer Law. -Use of a Large Language Model to generate explanations of Portuguese Consumer Law that best
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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
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/IT137-25
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Gonçalves Teixeira de Macedo IV - Work Plan / Goals to be achieved: Títle: Neuroevolution in large models These activities are intended for the scholarship holder to develop new knowledge and skills in
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learning, biostatistical analysis, creation and implementation of databases, biological networks, and modeling of biological processes; dissemination of technical and scientific results; Specific
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of the properties and stability of lipid vesicles for use in drug permeability assays (Task 4). Execution of permeability assays with model drugs (Task 5) and rationalization of the results obtained