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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://www.apply.uc.pt
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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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well as on the websites of the funding Operational Programs, if applicable. The use of the FCT logo available at http://www.fct.pt/logotipos/ is strictly mandatory and, where applicable, the logos of the European Union
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programme Reference Number AE2026-0170 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0170
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number https://doi.org/10.54499/2022.01785.PTDC Is the Job related to staff position within a
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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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method applied; b) Based on the score of their academic qualifications. VII.VI - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt
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provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition: President: Hélène Marie Léger Effective Members: Paulo Fernando
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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
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contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/IT137-26-311 Requirements Research FieldBiological sciences