102 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Portugal
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- INESC TEC
- Universidade de Coimbra
- FEUP
- INESC ID
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Instituto de Telecomunicações
- LNEC, I.P.
- Universidade do Minho - ISISE
- Centro de Engenharia Biológica da Universidade do Minho
- ISCTE - Instituto Universitário de Lisboa
- Instituto Politécnico de Setúbal
- Instituto Superior Técnico
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- UNIVERSIDADE DE ÉVORA
- Universidade de Aveiro
- University of Aveiro
- University of Trás-os-Montes and Alto Douro
- Associação COLAB TRIALS - Laboratório Colaborativo para a Inovação em Ensaios Clínicos
- Associação Fraunhofer Portugal Research
- Aveiro University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- Centro de Computação Grafica
- ESS - Escola Superior de Saúde
- Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro
- FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
- FCiências.ID
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
- Faculty of Sciences of the University of Porto
- Fastprinciple,lda
- Gulbenkian Institute for Molecular Medicine
- Instituto Pedro Nunes
- Instituto Politécnico de Bragança
- Instituto Superior de Agronomia
- Instituto Superior de Engenharia do Porto
- Instituto de Engenharia Mecânica
- Politécnico de Leiria
- Universidade Autónoma de Lisboa
- Universidade da Madeira
- Universidade de Trás-os-Montes e Alto Douro
- Universidade do Minho
- University of Algarve
- University of Minho
- iBET - Instituto de Biologia Experimental e Tecnológica
- 33 more »
- « less
-
Field
-
and might include a component of machine learning to speed up interpretation of the phage testing. The appointed candidate will be able to receive further technical guidance and supervisory support from
-
of mathematics, machine learning, proficiency in programming languages including Python, C/C++. Experience with machine learning. Excellent academic background. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R
-
23 Dec 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
establish reference performance and guide the design of more advanced models. The core of the work will then focus on developing and evaluating machine-learning-based NILM methods tailored
-
(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images
-
of artificial intelligence models, including machine learning and deep learning; c) Immediate availability to start the scholarship (to be stated in the motivation letter); d) Proficiency in the English language
-
of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
-
Analysis and Decision Support - Applying statistical and machine learning methods to interpret the data, identify trends for optimizing aquaculture conditions.; • Experimental Validation - Conducting
-
. (Host institution: Iscte-IUL, Portugal) 2. Project title: Machine learning techniques for crosstalk mitigation and new passive optical network architectures. (Host institution: Iscte-IUL, Portugal