263 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Fellowship positions in Portugal
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- Universidade de Coimbra
- INESC ID
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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Engenharia Biológica da Universidade do Minho
- University of Algarve
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- REQUIMTE - Rede de Quimica e Tecnologia
- Instituto Pedro Nunes
- Universidade de Aveiro
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- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
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- Instituto Politécnico de Viseu
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Engenharia Mecânica
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- CCMAR – Centro de Ciências do Mar do Algarve
- CECS-Communication and Society Research Centre
- Centro de Estudos Sociais da Universidade de Coimbra
- Faculdade de Letras da Universidade de Lisboa
- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
- Nova School of Business and Economics
- University of Aveiro
- ASSOCIAÇÃO BIOPOLIS
- CENTER FOR TEXTILE SCIENCE AND TECHNOLOGY
- CEPS
- Centro de Astrofisica da Universidade do Porto
- Centro de Investigação em Psicologia (CIPsi)
- Champalimaud Foundation
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
- Faculdade de Ciências Sociais e Humanas
- Fundação Ensino e Cultura Fernando Pessoa
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Instituto Superior de Economia e Gestão
- Instituto de Tecnologia Química e Biológica António Xavier ITQB NOVA
- National Laboratory of Energy and Geology
- Polytechnic University of Leiria
- Universidade Católica Portuguesa
- Universidade Nova de Lisboa
- Universidade do Minho - ISISE
- University of Beira Interior
- University of Porto
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Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID promotes cooperation
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Computer Science (or close field) with strong foundations in data management, machine learning, and software engineering. Coursework or projects in NLP/LLMs, information retrieval, knowledge graphs/ontologies, data
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the supervision of PhD Researcher Juliana Rosa Dias. . GRANT FINANTIAL COMPONENTS: Monthly maintenance stipend of € 1040,98 according to the FCT Regulation for Studentships and Fellowships (https://www.fct.pt/wp
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December: https://dre.pt/application/file/a/127230968 , or at the FCT website: https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ), and FCiências.ID Fellowship Regulation, as approved on 12th May 2020
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related fields. Additional optional skills and qualifications: Experience in deep learning for medical imaging. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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and qualifications: Experience in deep learning for remote sensing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master's degree in
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institution “Quantum knot invariants and quivers”, “2024.16612.PEX”, “DOI: https://doi.org/10.54499/2024.16612.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P. through national funds under
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer
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the following conditions: OBJECTIVES | FUNCTIONS The purpose is to continue the research on Machine Learning methods applied to optimization techniques, in particular for the veicule routing problem. The idea is
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Computer Science (or close field) with strong foundations in data management, machine learning, and software engineering. Coursework or projects in NLP/LLMs, information retrieval, knowledge graphs/ontologies, data