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19 Sep 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal
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Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months agoengineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Portugal Application Deadline 4 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 21 days ago
data sharing (preferred); good knowledge of machine learning algorithms; proficiency in high-level programming languages (e.g., C++, Python, C#, etc.) (preferred); knowledge of database formulation and
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with simulation techniques, energy efficiency models, large-scale energy consumption data, machine learning techniques and interpretation (unsupervised); - Education, experience and research orientation
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vision systems, on the consideration of strong constraints on processing times and on the use of machine learning techniques in specific contexts (e.g. embedded targets, little data or explainable AI
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 21 days ago
field. This project involves: general literature review on information retrieval strategies using emergent tools, such as machine learning, semantic embeddings, etc… for the particular case of waste-to
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from October 1st 2025 to December, 10th 2025 (03:00 p.m., EST) Machine Learning (ML) , applications open from October 1st 2025 to December, 10th 2025 (03:00 p.m., EST) Neural Computation (PNC
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
programming in C/C++ and/or Python and on Deep Learning applications (even if in the academic environment only) (e.g. PyTorch, TensorFlow). Knowledge in computer vision and printer-proof steganography is
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approaches, including machine learning algorithms, for analyzing biological data. Hands-on experience in programming environments like Bash, R, or Python. Solid interpersonal and communication skills and
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Intelligence Benefits and AI Learning Capabilities for Energy Consumers, with nr. 15174, operation code at the Funds Platform COMPETE2030-FEDER-00883700, funded by FEDER funds through COMPETE2030 and with