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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Geography or related fields; Enrollment in a PhD programme in Geography or related fields; Experience in GIS, Spatial Modelling, and
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gold–lipid nanoparticles for localized glioblastoma treatment, optimized through a Quality by Design approach supported by computational modeling. Following process and formulation optimization
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real-time optimization algorithm for a simulated moving bed system to correct possible mismatches between the mathematical model and the real process. The approach to be developed is based on modifier
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Technology, I.P. (model below, for student enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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the main objectives are: i) evaluation of the resilient and long-term permanent deformation cyclic behaviour; ii) evaluation of quality control parameters; iii) constitutive modelling geotechnical parameters
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TEC. 2. OBJECTIVES: - Broadening knowledge of the state of the art in the specific scientific field related to the fellowship; - Developing models and supporting the implementation of multi-aspect use
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issued by the respective supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations
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issued by the respective supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations
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will actively participate in the development of smart mobility studies within the specific context of urban last-mile logistics operations. They will be involved in modelling and simulation activities