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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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the ability to translate between clinical and technical language while working with radiology informatics teams. A solid understanding of DICOM standards, PACS and RIS environments, GDPR, and image transfer
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Pose EstimationStrong background in computer vision and machine learning applied to pose estimation and visual servoing; Experience with OpenCV, PCL (Point Cloud Library), PyTorch/TensorFlow, and 3D
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, FEDER and FCT, is available under the following conditions: OBJECTIVES | FUNCTIONS Cloud computing is currently in an impasse. While hardware efficiency is improving at an exponentially lower rate, the
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• Access to computing resources, datasets, and industry case studies • Support for professional development, conferences, and dissemination (subject to funding) • Opportunity to help build and lead a
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
Applicable Offer Starting Date 28 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2022.04485.PTDC Is the Job related to staff position
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11 Nov 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Singapore Application
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: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep
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experimentation in optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics,Trinity College Dublin, Ireland, and in the ADAPT centre. The researcher will