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21 Jul 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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candidates using photometry, spectral energy distributions and, when available, spectroscopic data. Both fellows will produce diagnostic plots and summary tables. Simple statistical or machine-learning methods
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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UiO/Anders Lien 16th October 2026 Languages English English English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat
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equal or greater than 15 values (over 20). 1) have skills and experience in the utilization of machine tools and universal testing machines; 2) have experience in the utilization of industrial metrology
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or projects) Experience with high-frequency transport experiments at low temperatures Proficiency in computer-based data acquisition and processing (e.g., Python, C++, LabView) Proven track record of high
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for SHM and post processing techniques e.g. computer vision Experience in NLFEA of concrete structures Impact loading To be successful at shortlisting stage, please ensure you clearly evidence in your
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Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID promotes cooperation
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warmer and wetter world. RAPTURE brings together high resolution physical simulations, machine-learning climate emulators, and new perspectives on the dynamics of weather and climate to understand i) what
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programme Reference Number AE2026-0216 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0216