212 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" uni jobs in Portugal
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/ Qualifications PhD holder in the areas of Computer Science, Robotics, Electrical and Computer Engineering, Engineering Physics or a related area (see selection criteria). A strong background of remote sensing is
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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fulfilled for the purpose of contracting, in case of approval of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https
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the computer network. Duration: 12 months, not renewed. Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt
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@novaims.unl.pt Website https://novaims.unl.pt/en/who-we-are/job-vacancies/ Requirements Research FieldInformation science » OtherEducation LevelPhD or equivalent Additional Information Work Location(s) Number
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 26 days ago
well as good interpersonal skills in the context of a multidisciplinary research team. Preferential requirements: - Immediate availability, - Experience in using computer clusters, - Experience with scientific
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: Design, implementation, validation, and evaluation of Artificial Intelligence and Machine Learning models for UAS identification and classification based on AI and RF spectrum occupancy data sets
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for the purpose of contracting, in case of approval of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt
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on the platform. The platform is available at the following address: https://concursos.fa.ulisboa.pt IX. Application formalisation Under penalty of exclusion from the competition, the application must be
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on the platform. The platform is available at the following address: https://concursos.fa.ulisboa.pt IX. Application formalisation Under penalty of exclusion from the competition, the application must be