142 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Portugal
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- INESC TEC
- Universidade de Coimbra
- University of Minho
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- INESC ID
- Universidade de Aveiro
- FEUP
- Instituto de Telecomunicações
- Centro de Computação Grafica
- LNEC, I.P.
- Universidade do Minho - ISISE
- University of Beira Interior
- Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro
- Faculdade de Ciências e Tecnologia
- ISCTE - Instituto Universitário de Lisboa
- Instituto Politécnico de Coimbra
- Instituto Politécnico de Setúbal
- Instituto Superior de Engenharia do Porto
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- UNIVERSIDADE DE ÉVORA
- Universidade do Algarve
- University of Algarve
- University of Trás-os-Montes and Alto Douro
- Associação COLAB TRIALS - Laboratório Colaborativo para a Inovação em Ensaios Clínicos
- Associação Fraunhofer Portugal Research
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- 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.
- Fastprinciple,lda
- Gulbenkian Institute for Molecular Medicine
- ISCTE-IUL
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Instituto de Sistemas e Robótica (ISR)
- International Iberian Nanotechnology Laboratory (INL)
- Iscte-IUL
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- NOVA Information Management School (NOVA IMS)
- 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
- University of Aveiro
- Value for Health CoLAB
- iBET - Instituto de Biologia Experimental e Tecnológica
- 38 more »
- « less
-
Field
-
models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
-
Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 9 days ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
-
and Technology of the Arts, Digital Arts, Conservation and Restoration, Data Science, Creative Computing, or related areas. • Knowledge of IoT, creative programming, machine learning, and/or data
-
INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
systems; - experience in applying Artificial Intelligence/Machine Learning and/or optimization algorithms to wireless networking systems.; Minimum requirements: The four Research Initiation Grants to be
-
PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
-
Website https://www.inesctec.pt/en/opportunity/AE2025-0532 Requirements Specific Requirements Academic qualifications: Training in Electrical and Computer Engineering. Minimum profile: • Be enrolled in a
-
Neuroscience on object representation and object properties using machine learning and multivariate techniques to analyze the data; support in writing scientific outputs. The grantee will also support the entire
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
with setting up a streamflow forecasting system in Portugal and the advancement of scientific knowledge in machine learning probabilistic hydrological forecasting and decision-making optimized to act on
-
|2025/795 under the scope of the Project Machine Unlearning in Speech Foundation Models: Learning to Forget (LeaF), Refª 2024.14611.CMU , funded Fundação para a Ciência e a Tecnologia, I.P., is now
-
an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning. Work plan: Review of the state of the art in Machine Learning and Deep Reinforcement Learning