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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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rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine