116 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Portugal
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Universidade de Coimbra
- FEUP
- INESC ID
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Instituto Superior Técnico
- Instituto de Telecomunicações
- LNEC, I.P.
- FCiências.ID
- INESC TEC
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Politécnico de Leiria
- University of Porto
- Centro de Engenharia Biológica da Universidade do Minho
- ESS - Escola Superior de Saúde
- Faculdade de Ciências e Tecnologia
- Instituto Politécnico de Bragança
- Instituto Politécnico de Setúbal
- Instituto Politécnico de Viana do Castelo
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Universidade do Minho
- Universidade do Minho - ISISE
- University of Aveiro
- University of Minho
- University of Trás-os-Montes and Alto Douro
- Associação Fraunhofer Portugal Research
- Aveiro University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- Centro de Computação Grafica
- Faculty of Sciences of the University of Porto
- Fastprinciple,lda
- ISCTE - Instituto Universitário de Lisboa
- Instituto Pedro Nunes
- Instituto Politécnico de Coimbra
- Instituto Superior de Agronomia
- Instituto de Engenharia Mecânica
- NOVA Information Management School (NOVA IMS)
- National Laboratory of Energy and Geology
- Nature Careers
- Polytechnic University of Leiria
- Universidade Aberta
- Universidade do Porto – HR
- University of Beira Interior
- 33 more »
- « less
-
Field
-
knowledge in areas related to Data Science; Have knowledge of Machine; Be a PhD Student in Information Management. Work plan and goals to achieve The work plan will include the development of Machine Learning
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
networks or similar machine learning technologies applied to DNA; Preferential: Experience with transcription factor motif discovery; Proficiency in high-throughput sequence alignment methods; Candidates who
-
assessed according to the following weights and criteria: - Criterion 1: Absolute merit of curriculum vitae - Criterion 2: Academic performance in the areas of Machine Learning, Data and Information Fusion
-
C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE
-
of machine learning and deep learning methods and classification of health and wellness parameters. Data acquisition, as well as the preparation of presentations, scientific publications, and technical reports
-
or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
-
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
-
: familiarization with the workflow platform and machine learning concepts; development of web interfaces for data silo registration and federated training sessions monitoring; implementation of back-end components
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 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
-
of Conception and Drawing of Mechanical Components and Systems, Product Development, Computer-Aided Drawing and Manufacturing, Computer Graphics, Image Processing and Analysis and Scientific Visualization. Work