137 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Portugal
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- UNIVERSIDADE DE ÉVORA
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- Associação COLAB TRIALS - Laboratório Colaborativo para a Inovação em Ensaios Clínicos
- Aveiro University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- ESS - Escola Superior de Saúde
- FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
- Faculdade de Ciências e Tecnologia
- Fastprinciple,lda
- Gulbenkian Institute for Molecular Medicine
- ISCTE - Instituto Universitário de Lisboa
- ISCTE-IUL
- Instituto Politécnico de Bragança
- International Iberian Nanotechnology Laboratory (INL)
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- NOVA Information Management School (NOVA IMS)
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- Universidade Autónoma de Lisboa
- Universidade Católica Portuguesa - Porto
- Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab
- Universidade da Madeira
- Universidade de Trás-os-Montes e Alto Douro
- Universidade do Algarve
- University of Aveiro
- iBET - Instituto de Biologia Experimental e Tecnológica
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manufacturing, health and transportion: Interperability of systems Data Management Big data analytics AI and Machine Learning Experience in the organization of international events such as workshops and
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(spoken and written), academic excellence, autonomy, curiosity, and attention to detail. Resumes demonstrating knowledge of programming in Python and/or Matlab; computer vision, image processing, learning
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large sample size; d. Experience in integration of multi-omics using machine learning approaches; e. Experience in participation of research teams or projects. Candidates must be enrolled in a doctorate
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to the category of assistant researcher. Experience in the development and application of machine learning algorithms to engineering problems. Proven experience in Python code development. Preferred qualifications
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: Research Field: Machine Learning/Pattern Recognition Objectives: AI-based module for energy consumption and quality control optimization. Work plan: The planned work involves collaboration in the process of
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: Research Field: Machine Learning/Pattern Recognition Objectives: AI-based module for energy consumption and quality control optimization. Work plan: The planned work involves collaboration in the process of
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the Official Portuguese Gazette, as decreed by Law no. 78/2003, of April 23, advertised on the Euraxess Portugal portal at https://www.euraxess.pt , and on the University’s website, in both Portuguese and
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Engineering, Biomedical Engineering (Medical Informatics), or related areas. Recipient category: Masters, enrolled in the course: Degree courses: enrolled in doctorate. Non-conferring degrees courses: enrolled
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RE-C05-i08 do Programa de Recuperação e Resiliência, através da Fundação para a Ciência e a Tecnologia - FCT, nas seguintes condições: Scientific Area: Computer Engineering, Biomedical Engineering
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to facilitate the integration of the framework with external systems and educational platforms; Establish a Machine Learning Operations (MLOps) pipeline to automate the lifecycle of models, including training